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NET Framework 3. We highly recommend that you run the bit drvupdate-amd You may sometimes need to re-apply and Start these again when re-connecting device or after performing a Restart on the PC. Even if you are not able to get WMDC to show it is connected, you may still be able to browse the contents of the device through File Explorer which will appear as a drive under \”This PC\” or synchronize anyway. This is as shown below:.

Also, tests so far have shown that Windows Mobile Device Center seems to work as well in Windows 10 as it did in Windows 8, 7, and Vista.

Some known issues may still apply. If you have been forced to download and re-install Windows Mobile Device Center in Windows 10, it is recommended to use the bit or bit links at the following web page.

The actual artificial cell division approach [46] is slightly modified to design the optimization procedure. The incorporated modifications are listed below [47] :. The hierarchical tree structure is formed throughout the generations due to the artificial cell division process. Swarms of artificial cells are considered in the optimization process to take part in the artificial cell division process.

No communication is allowed between any pair of artificial cells. Lifespan of the k th artificial cell at a certain timestamp t s is an important parameter and it is directly dependent on the fitness value f i t n e s s k as given in Eq. A huge number of swarms can significantly increase the fitness evaluations and a small number of swarms can increase time to converge and therefore, is essential to decide the swarm count moderately.

In this work, the swarm count is considered is a fixed parameter. One artificial cell can produce some new cells and the production of new cells occur at a certain distance which is inversely dependent on the fitness of the producer cell as expressed in Eq.

The distance between the k th cell and any of the l th cell, which are produced from the same parent cell, must be same. Therefore, if a cell is near to global optima, then it can generate some other cells at a smaller distance and vice-versa. Smaller steps help to search the nearest portions of the global optima cautiously so that the global optima may not be missed accidentally.

A cell does not have any effect on the population once its lifespan is over. This property helps to maintain the size of the population and prevents getting overpopulated. The successor cells of a cell can produce some other cells by the cell division process to maintain the population. The life span of a cell can belong it belongs to the near-optimal area. The quality of a population is evaluated using the lambda function which is given in Eq. Algorithm 1 illustrates the artificial cell swarm optimization approach in brief [47].

The proposed approach adopts the type 2 fuzzy logic-based clustering approach to effectively model and handle the random uncertainties. In most real-life applications, the uncertainty cannot be predicted in advance. A wide range of input types can produce random uncertainties. Hence, it is essential to cope up with the random uncertainties in real-life scenarios. The fuzzy C-means clustering approach is one of the widely used clustering approaches which is suitable to various problems of different domains [48] , [49] , [50] , [51].

The main reason behind the increasing popularity of fuzzy systems is the suitability of this approach in different scenarios where the crisp clustering approaches do not perform well.

A single point can be a member of more than one cluster at the same time with some membership values. The total sum of all membership values for a certain point must be one. So, the value of the membership can be anything between 0 and 1. The dissimilarity function which is optimized by the fuzzy C-means clustering approach is given in Eq.

The cluster centers can be updated using Eq. The type 2 fuzzy logic systems use separate sets of membership values that are also fuzzy in nature. This approach allows efficient modeling of dynamic input uncertainties by providing additional degrees of freedom. In this work, the type 2 fuzzy logic-based clustering approach is adopted to overcome some of the common problems of type 1 fuzzy systems like noise sensitivity, relative membership values, etc.

It is essential to improve the outcome of the segmentation process. The uncertainty of a point must be decided depending on the membership value i. So, a lower membership value indicates higher uncertainty and vice-versa.

Some of the basic reason behind the adoption of type 2 fuzzy system in this work is listed below [53] :. The membership value in type 2 fuzzy systems can be calculated using Eq. The proposed approach does not require Eq. The artificial cell swarm optimization process will guide the proposed approach to determine the optimal cluster centers. The type 2 fuzzy clustering system can be easily understood from algorithm 2 and the schematic diagram of the type 2 fuzzy system can be visualized from Fig.

The ever-growing technology allows us to increase the quality of the image acquisition hardware. High-quality biomedical images can be acquired from various biomedical image acquisition devices and it is helpful in a precise analysis of the biomedical images. Automated biomedical image analysis devices are facing some challenges due to the increasing quality of biomedical images. A high amount of spatial information creates severe problems for automated and computer-aided diagnostic systems because medical diagnostic systems demand quick and accurate results.

Image segmentation plays a vital role in many automated computer-aided image analysis systems. It is essential to generate precise reports within the stipulated amount of time to provide accurate treatment to the patients. To handle this situation effectively and to accelerate the screening process of the COVID infection, a superpixel-based novel approach is proposed in this work to segment the CT scan images.

Superpixels are useful to represent a set of pixels in a computation-friendly manner. Different approaches can be found in the literature to find the superpixel image from an input image [54] , [55] , [56]. Some superpixel computation methods like mean shift [54] and watershed [56] produce irregular superpixels and some methods like SLIC [55] generate regular superpixels. Meanshift and watershed approaches are more useful due to the capability to generate irregular superpixels.

The watershed approach is simpler to implement compared to the mean-shift approach but it is sensitive to the noise which is not at all desirable for the image segmentation approaches. In this work, the noise sensitivity of the watershed approach is removed with the help of the gradient image, which is generated using the approach, proposed in [57].

The obtained gradient image is processed using the morphological erosion and dilation-based reconstruction operations, which are given in Eqs.

Here, s e is the structuring element and it is an important parameter that controls the segmented outcome. The size of the structuring element is subjective and depends on the image under consideration.

Practically, it is not possible to determine different structuring elements which are of various sizes, depending on the image. Therefore, the pointwise maximum value is computed using Eq. The number of superpixels is inversely dependent on the size of the structuring elements.

It can be easily understood in Fig. The image considered in these two figures is the T e s t 01 image [58] please refer to Table 3. Dependency of the number of superpixels on the size of the disk structuring element a — h superpixel images obtained using the disk structuring element of size 3 to 10 respectively, i Size of the structuring element vs. Dependency of the number of superpixels on the size of the square structuring element a — h superpixel images obtained using the square structuring element of size 3 to 10 respectively, i Size of the structuring element vs.

A very small lower bound is not desirable because it will produce very small regions and some essential edge information can be lost. So, the threshold value can be adjusted as per the requirement and depending on the available resources. The conventional fuzzy C-means clustering approach often overlooks some important spatial information that can be costly in terms of the segmentation performance.

Some approaches try to solve this problem by considering and blending some local spatial information in the objective function but it increases the computational cost and therefore not suitable on many occasions. Superpixels can help in this context by over-segmenting an image in many small, perceptually uniform, and homogeneous regions.

In this work, the CT images are first processed to determine the superpixels using the proposed approach and then the fuzzy artificial cell swarm optimization approach is used to determine the segmented image by finding the optimal clusters. As discussed earlier, the type 2 fuzzy system is used to perform the segmentation. The fuzzy objective function which is given in Eq. To incorporate the advantages of the superpixel, it is necessary to modify the fuzzy objective function.

The representative value is used in the objective function, and the modified objective function is given in Eq. The cluster centers can be updated and guided by the artificial cell swarm optimization and therefore, no equation is required to compute the updated positions of the cluster center. This approach is not dependent on the selection of the initial cluster centers.

The proposed procedure is given in algorithm 3 and the schematic flow diagram is given in Fig. As discussed earlier, the properly annotated ground truth segmented images may not be available always, and therefore, some standard intrinsic cluster evaluation methods are used here to evaluate the proposed approach quantitatively.

The proposed methods are applied to the images and the test results are demonstrated with the 10 CT scan images that are randomly selected which are obtained from different countries of the world.

Table 3 gives a brief overview of the test images and the test images along with their histograms are given in Fig. The experiments are performed in the MatLab Ra on a computer that is equipped with an Intel i3 processor and 4 GB main memory. The proposed method is compared with some metaheuristic optimization-based image segmentation approaches like modified genetic algorithm [67] , modified PSO [68] , improved bat algorithm [69] and modified cuckoo search method [70] in both qualitative and quantitative manner.

The visual comparison is presented in Fig. The acceptable values are highlighted in boldface. The comparisons and evaluations are performed for different numbers of clusters.

A comparative study of different approaches using T e s t 01 for different number of clusters. Performance evaluation of different approaches using Davies—Bouldin index The highlighted values indicates acceptable values.

Performance evaluation of different approaches using Xie—Beni index The highlighted values indicates acceptable values. Performance evaluation of different approaches using Dunn index The highlighted values indicates acceptable values.

From the qualitative and quantitative results, it can be observed that the proposed SUFACSO approach outperforms some state-of-the-art works and can produce realistic outputs that are certainly helpful for the interpretation of the real-life CT scan images and therefore, this approach can be helpful for the early screening purposes.

At the end of each table, the average performance of the five approaches is reported which is beneficial to understand the overall performance of these methods for the different number of clusters and different cluster validity indices. In the case of average, the column-wise optimal values are highlighted instead of highlighting the row-wise optimal values.

The row-wise highlighted values talk about the performance of the individual algorithm for the different number of clusters whereas the column-wise highlighted values help to understand the performance of the individual algorithms. It can be observed that the proposed approach outperforms other approaches for most of the number of clusters as well as for most of the validity indices.

For example, on a total of 16 occasions i. These comparative results are graphically presented in Fig. In X -axis the number of clusters and in the Y -axis, the values of the corresponding validity index are plotted.

The experiments are carried out for the different numbers of clusters. A particular approach may perform well for a particular cluster count. That is why the average values of all experiments are reported at the end of each table for better interpretation.

It can be observed that the proposed approach can optimize different objective functions effectively. Actually, the experiments are carried out on CT images in the first phase and CT images in the second phase.

It is already mentioned in Section 5. Results that are obtained from all images are not possible to report in this stipulated amount of space. Therefore, only some results that are obtained from some selected images are reported.

Apart from these tests, the proposed approach is also compared with some of the active contour models based on some standard parameters like accuracy, precision, and recall. This comparison is performed by using the database that is available at [71]. This dataset is created by collecting sample images from 49 patients with age range 32—86 years.

The obtained average results are reported in Table 8. The rate of convergence is an important parameter to be studied. The performance evaluation remains incomplete without studying and comparing the convergence of different algorithms. The convergence analysis gives a clear view of the comparative performance of different algorithms for the different numbers of clusters.

The graphical analysis of the convergence is presented in this subsection using the image T e s t 01 for the Dunn index. In Fig. In a single plot, four separate curves are indicating four different clusters. These curves show that the proposed approach can efficiently segment the images for a higher number of clusters.

Moreover, the proposed approach also outperforms some other methods in terms of convergence besides quantitative and qualitative performance. The time complexity is an important aspect that is to be analyzed.

Retrieved April 22, Retrieved April 7, Retrieved September 30, The Start menu is coming back to Windows\”. Archived from the original on February 3, Retrieved March 31, The Slate Group. Seattle Times. Seattle Times Network. Archived from the original on September 30, Retrieved November 5, Ziff Davis. February 2, September 30, The Guardian. Thomson Reuters. Business Insider. January 21, Retrieved January 24, PC Magazine. Ziff Davis Media.

Conde Nast. Purch Inc. Archived from the original on March 2, Retrieved June 16, Archived from the original on April 9, Retrieved July 25, Retrieved July 17, Retrieved July 23, The New York Times. July 13, Tom\’s Guide. Retrieved August 12, Retrieved April 3, Retrieved May 16, Windows Blog.

Retrieved March 9, Retrieved February 7, December 7, Retrieved December 8, Windows Experience Blog. PC Pro. July 29, April 23, Retrieved July 16, March 20, Microsoft says Hello to palm-vein biometrics\”.

Retrieved February 10, March 17, Retrieved March 17, Retrieved July 18, Microsoft Docs. Retrieved October 30, Windows Developer Blog. June 17, Retrieved January 2, This means you can now use WSL for machine learning, artificial intelligence, and data science scenarios more easily when big data sets are involved. Scott Hanselman\’s Blog.

Windows PowerShell Blog. Archived from the original on April 2, Retrieved March 20, Retrieved January 23, Retrieved April 29, Retrieved March 25, June 15, Retrieved August 26, Retrieved January 9, Retrieved October 21, Retrieved October 22, Retrieved May 17, May 21, Retrieved May 22, August 11, Retrieved September 12, Archived from the original on August 11, Retrieved January 21, Xbox Blog. February 13, Retrieved March 18, Retrieved February 14, Xbox Wire.

May 14, Retrieved May 15, Archived from the original on December 1, Retrieved April 2, Retrieved November 15, MKV and. FLAC files all on its own\”. PC Games Hardware in German. May 5, Retrieved April 11, DirectX Developer Blog.

Archived from the original on October 4, Retrieved October 3, October 3, March 21, Retrieved June 20, PC Perspective. Archived from the original on September 5, Retrieved August 22, May 13, Retrieved May 13, Retrieved February 3, May 2, February 3, Retrieved March 11, April 21, Retrieved April 23, Retrieved March 8, Retrieved October 1, October June 21, Retrieved June 22, Conde Nast Digital.

June 22, Retrieved June 23, Retrieved June 21, Purch, Inc. Retrieved July 27, July 15, Retrieved July 15, Retrieved August 4, November 30, Redmond Magazine. Retrieved August 6, Retrieved July 31, Supersite for Windows. Archived from the original on August 1, March 18, May 19, Retrieved May 21, Retrieved July 14, Retrieved May 18, Windows Help. Archived from the original on May 1, Retrieved February 1, May 16, While our free offer to upgrade to Windows 10 will not apply to Non-Genuine Windows devices.

March 19, Retrieved March 19, Retrieved August 13, July 31, Windows 10 blog. Microsoft Corporation. October 12, Retrieved October 12, Retrieved July 4, Network World. July 28, Retrieved July 29, Retrieved August 1, May 9, Retrieved November 3, Retrieved November 14, July 27, Retrieved April 4, Microsoft Tech Community. August 12, July 17, July 20, Microsoft Edge stands ready to be your new everyday browser for work, life and everything in between. With IE mode.

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Windows Mobile Device Center: Using it in Windows 10 | Topcon Positioning Systems, Inc. – Windows 10 2022 -päivitys l Versio 22H2


Supported until October 14,with the latest feature updates. Windows 10 is a major release of Microsoft \’s Windows NT operating system. It is the direct successor to Windows 8.

It was released to manufacturing on July 15,and later to retail on July 29, Windows 10 receives new builds on an ongoing basis, which are available at no additional cost to users, in addition to additional test builds of Windows 10, which are available to Windows Insiders. Devices in enterprise environments can receive these updates at a slower windows 10 1703 download iso italy covid 19’s, or use long-term support milestones that only receive critical updates, such as security patchesover their ten-year lifespan of extended support.

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Critics also praised the improvements to Windows 10\’s читать статью software over Windows 8. However, media outlets have been critical of the changes to operating system behaviors, including mandatory update installation, privacy concerns over data collection performed by the OS for Microsoft and its partners, and adware -like tactics used to promote the operating system on its release. Microsoft initially aimed to have Windows 10 installed on over one billion devices within three years of its release; [19] that goal was ultimately reached almost five years after release on March 16,[22] and is by now most used version in virtually all countries.

By JanuaryWindows 10 surpassed Windows 7 as the most popular version of Windows worldwide. On June 24,Microsoft announced Windows 10\’s successor, Windows 11which was released on October 5, In Decembertechnology writer Mary Jo Foley reported that Microsoft was working on an update to Windows 8 codenamed \”Threshold\”, after a planet in its Halo franchise.

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The second column displays Windows 8-style app tiles. Myerson said that these changes would occur in a future update, but did not elaborate. Windows Phone 8. Screenshots of a Windows build purported to be Threshold were leaked in Julyshowing the previously presented Start menu and windowed Http://replace.me/1236.txt Store apps, [32] followed by a further screenshot of a build identifying itself as \”Windows Technical Preview\”, numberedin Septembershowing a new virtual desktop system, a notification center, and a new File Explorer icon.

On September 30, нажмите чтобы прочитать больше, Microsoft officially announced that Threshold would be unveiled during a media event as Windows Myerson said that Windows 10 would be Microsoft\’s \”most comprehensive platform ever\”, providing a single, unified platform for desktop and laptop computers, tabletssmartphones, and all-in-one devices.

In regards to Microsoft naming the new operating system Windows 10 instead of Windows 9, Terry Myerson said that \”based on the product that\’s coming, and just how different our approach will be overall, it wouldn\’t be right to call it Windows 10 1703 download iso italy covid 19’s 9. We\’re trying to вот ссылка one platform, one eco-system that unites as many of the devices from the small embedded Internet of Things, through tablets, through phones, through PCs and, ultimately, into the Xbox.

Further details surrounding Windows 10\’s consumer-oriented features were presented during another media event held on January 21,entitled \”Windows The Next Chapter\”.

Additional developer-oriented details surrounding the \” Universal Windows Platform \” concept were revealed and discussed during Microsoft\’s Build developers\’ conference. Among them were the unveiling of \”Islandwood\”, which provides a middleware toolchain for compiling Objective-C -based software particularly iOS to run as universal apps on Windows 10 and Windows 10 Mobile.

A port of Candy Crush Saga made using the toolkit, which shared much of its code with the iOS version, was demonstrated, alongside the announcement that the King -developed game would be bundled with Windows 10 at launch. At the Ignite conferenceWindows 10 1703 download iso italy covid 19’s employee Jerry Nixon stated that Windows 10 would be the \”last version of Windows\”, a statement that Microsoft confirmed was \”reflective\” of its view of the operating system being a \”service\” with new versions and updates to be released over time.

On June 1,Microsoft announced that Windows 10 would be released on July 29, The commercials focused on the tagline \”A more human way to do\”, emphasizing new features and technologies supported by Windows 10 that sought to provide a more \”personal\” experience to users. Windows 10 makes its user experience and functionality more consistent between different classes of windows 10 1703 download iso italy covid 19’s, and addresses most of the shortcomings in the user interface that were introduced in Windows 8.

Windows 10 supports universal appsan expansion of the Metro-style first introduced in Windows 8. Both interfaces include an updated Start menu which incorporates elements of Windows 7 \’s traditional Start menu with the tiles of Windows 8.

Windows 10 also introduced the Microsoft Edge web browsera virtual desktop system, a window and desktop management feature called Task Viewsupport for fingerprint and face recognition login, new security features for enterprise environments, and DirectX Windows apps share code across platforms, have responsive designs that adapt to the needs of the device and available inputs, can synchronize data between Windows 10 devices including notifications, credentials, and allowing cross-platform multiplayer for gamesand are distributed through the Microsoft Store rebranded from Windows Store since September The ARM version of Windows windows 10 1703 download iso italy covid 19’s allows running applications for x86 processors through bit software emulation.

On Windows 10, the Microsoft Store serves as a unified storefront for apps, video content, and eBooks. Desktop software distributed through Windows Store is packaged using the App-V system to allow sandboxing.

A new iteration of the Start menu is used on the Windows 10 desktop, with a list of places and other options on the left side, and tiles representing applications on the right. The menu can be resized, and expanded into a full-screen display, which is the default option in Tablet mode. When a window is snapped to one side of the screen, Task View appears and the user is prompted to choose a second window to fill the unused side of the screen called \”Snap Assist\”.

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Notifications can be synced between multiple devices. Windows адрес страницы is designed to adapt its user interface based on the type of device being used and available input methods. It offers two separate user interface modes: a user interface optimized for mouse and keyboard, and a \”Tablet mode\” designed for touchscreens.

Users can toggle between these two modes at any time, and Windows can prompt or automatically switch when certain events occur, such as disabling Tablet mode on a tablet if a keyboard or mouse is plugged in, or when a 2-in-1 PC is switched to its laptop state. In Tablet mode, programs default to a maximized view, and the taskbar contains a back button and hides buttons for opened or windows 10 1703 download iso italy covid 19’s programs by default; Task View is used instead to switch between programs.

The full screen Start menu is used in this mode, similarly to Windows 8, but scrolls vertically instead of horizontally. Windows 10 incorporates multi-factor authentication technology based upon standards developed by windows 10 1703 download iso italy covid 19’s FIDO Alliance. Devices with supported cameras requiring infrared illumination, such as Intel RealSense allow users to log in with iris or face recognitionsimilarly to Kinect.

Devices with supported readers allow users to log in through fingerprint recognition. Support was also added for palm-vein scanning through a partnership with Fujitsu in February Inresearchers demonstrated that Windows Hello could be bypassed on fully-updated Windows 10 version with a color printout of a person\’s picture taken with an IR camera.

However, a PIN is not a simpler password. While passwords are transmitted to domain controllersPINs are not. They are tied to one device, and if compromised, only one device is affected. As such, the authentication token transmitted to the server is harder to crack. In addition, whereas weak passwords may be broken via rainbow tablesTPM causes the much-simpler Windows PINs to be resilient to brute-force attacks.

When Windows 10 was first introduced, multi-factor authentication was provided by two components: Windows Hello and Passport not to be confused with the Passport platform of Later, Passport was merged into Windows Hello.

Device Guard is designed to protect against zero-day exploitsand runs inside a hypervisor so that its operation remains separated from the operating system itself. Other features such as word wrap and transparency were also added. These functions can be disabled to revert to the legacy console if needed. The Anniversary Update узнать больше Windows Subsystem for Linux WSLwhich allows the installation of a user space environment from a supported Linux distribution that runs natively on Windows.

The subsystem translates Linux system calls to those of the Windows NT kernel only claims full system call compatibility as of WSL 2, included in a later Windows update. The environment can execute the Bash shell and bit command-line programs WSL 2 also supports bit Linux programs and graphics, assuming supporting software installed, [88] and GPUs support for other uses [89]. Windows applications cannot be executed from the Linux environment, and vice versa. To reduce the storage footprint of the operating system, Windows 10 automatically compresses system files.

The system can reduce the storage footprint of Windows by approximately 1. The level of compression used is dependent on a performance assessment performed during installations or by OEMswhich tests how much compression can be used without harming operating system performance.

Furthermore, the Refresh and Reset functions use runtime system files instead, making a separate recovery partition redundant, allowing patches and updates to remain installed following the operation, and further reducing the amount of space required for Windows 10 by up to 12 GB. Windows 10 introduces Microsoft Edgea new default web browser. It initially featured a new standards -compliant rendering engine derived from Tridentand also includes annotation tools and integration with other Microsoft platforms present within Windows Windows 10 incorporates a universal search box located alongside the Start and Task View buttons, which can be hidden or condensed into a узнать больше button.

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Users can create a designated family, and monitor and restrict the actions of users designated as children, such as access to websites, enforcing age ratings on Microsoft Store purchases, and other restrictions.

The service can also send weekly e-mail reports to parents detailing a child\’s computer usage. Credentials are stored in an encrypted form windows 10 1703 download iso italy covid 19’s Microsoft servers and sent to the devices of the selected contacts.

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These offer built-in alternatives to the Skype download and sync with Windows 10 Mobile. Windows 10 provides greater integration with the Xbox ecosystem. Xbox SmartGlass is succeeded by the Xbox Console Companion formerly the Xbox appwhich allows users to browse their game library including both Windows 10 1703 download iso italy covid 19’s and Xbox console gamesand Game DVR is also available using a keyboard shortcutallowing users to save the last 30 seconds of gameplay as a video that can be shared to Windows 10 1703 download iso italy covid 19’s Live, OneDrive, or elsewhere.

Windows 10 adds native game recording and screenshot capture ability using the newly introduced Game Bar. Users жмите also have the OS continuously record gameplay in the background, which then allows the user to save the last few moments of gameplay to the storage device. Windows 10 adds three new default typefaces compared to Windows 8, but omits several others. The removed typefaces are available in supplemental packs and may be added manually over a non-metered internet connection.

Windows 10 is available in five main editions for personal computing devices; the Home and Pro editions of which are sold windows 10 1703 download iso italy covid 19’s retail in most countries, and as pre-loaded software on new computers. Home is aimed at home users, while Pro is aimed at power users and small businesses. Each edition of Windows 10 includes all of the capabilities and features of the edition below it, and adds additional features oriented towards посетить страницу источник market segments; for example, Pro adds additional networking and security features such as BitLockerDevice Guard, Windows Update for Business, and the ability to join a domain.

Enterprise and Education, the other editions, contain additional features aimed towards business environments, and are only available through volume licensing. As part of Microsoft\’s unification strategies, Windows products that are based on Windows 10\’s common platform but meant for specialized platforms are marketed as editions of the operating system, rather than as separate product lines.

An updated version of Microsoft\’s Windows Phone operating system for smartphones, and also tablets, was branded as Windows 10 Mobile. On May 2,Microsoft unveiled Windows 10 S referred to in leaks as Windows 10 Clouda feature-limited edition of Windows 10 which was designed primarily for devices in the education market competing, in particular, with ChromeOS netbookssuch as the Surface Laptop that Microsoft also unveiled at this time.

The OS restricts software installation to applications obtained from Microsoft Store; the device may be upgraded to Windows 10 Pro for a fee to enable unrestricted windows 10 1703 download iso italy covid 19’s installation.


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