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Tag: Eng
Polsen HDR-10 Omnidirectional Handheld Dynamic ENG Microphone
Polsen HDR-10 Omnidirectional Handheld Dynamic ENG Microphone
Price : 34.99
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Introducing the Polsen HDR-10 Omnidirectional Handheld Dynamic ENG Microphone!This powerful microphone is perfect for all your on-the-go recording needs. Whether you’re a journalist, videographer, or content creator, the HDR-10 delivers clear and crisp audio, even in noisy environments.
With its omnidirectional pickup pattern, this microphone captures sound from all directions, making it ideal for interviews, live events, and field reporting. The dynamic capsule ensures that your voice is captured with excellent clarity and minimal background noise.
The Polsen HDR-10 is built to last, with a rugged construction that can withstand the rigors of daily use. Its compact size and ergonomic design make it easy to handle, while the included foam windscreen helps reduce unwanted wind noise.
Don’t settle for subpar audio quality on your recordings. Upgrade to the Polsen HDR-10 Omnidirectional Handheld Dynamic ENG Microphone and take your content to the next level! #PolsenHDR10 #DynamicMicrophone #ENGMicrophone
#Polsen #HDR10 #Omnidirectional #Handheld #Dynamic #ENG #Microphone,hdr 10
Microsoft(マイクロソフト) Windows 11 Home (English) FPP 64-Bit ENG INTL | USB Flash Drive | 1 License Included
Price: $160.00
(as of Jan 01,2025 07:44:43 UTC – Details)
Edition: Win 11 Home (English) FPP 64-Bit USB Flash Drive | 1 License Included
Package Dimensions : 6 x 5 x 3 inches
Date First Available : December 26, 2024
Manufacturer : MicrosoftCorporation.
ASIN : B0DRKJ7BHSEdition: Windows 11 Home (English) FPP 64-Bit USB Flash Drive | 1 License Included
Media Type: 1 Windows 11 Home USB support both 64-bit systems
User Interface Improvements: Redesigned Start menu, taskbar, and more intuitive navigation.
Architecture: Includes support for both 64-bit systems
License Type: Full retail license, typically a single-user license
Activation: Requires activation with an included product key
Introducing Microsoft Windows 11 Home (English) FPP 64-Bit ENG INTL | USB Flash Drive | 1 License IncludedUpgrade your operating system to the latest and greatest with Microsoft Windows 11 Home. This FPP (Full Packaged Product) version includes a USB Flash Drive for easy installation and activation. With a 64-bit architecture, you’ll experience improved performance and compatibility with modern hardware.
Whether you’re a student, professional, or casual user, Windows 11 Home has everything you need to work, play, and create. Enjoy a sleek and intuitive interface, enhanced security features, and seamless integration with Microsoft services like OneDrive and Office. Plus, with 1 license included, you can install Windows 11 on one device for a seamless and personalized computing experience.
Upgrade to Microsoft Windows 11 Home today and unlock a world of possibilities on your PC. Get your hands on this FPP version with a USB Flash Drive and start enjoying the benefits of the latest operating system from Microsoft.
#Microsoftマイクロソフト #Windows #Home #English #FPP #64Bit #ENG #INTL #USB #Flash #Drive #License #Included,windows
11 home
Win11 Pro 64BIT Eng DVD version
Win11 Pro 64BIT Eng DVD version
Price : 38.99
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Are you ready to upgrade to the latest and greatest operating system? Look no further than Win11 Pro 64BIT Eng DVD version! With improved performance, enhanced security features, and a sleek new design, Win11 Pro is the perfect choice for professionals and enthusiasts alike.Say goodbye to slow loading times and system crashes – Win11 Pro is designed to keep your computer running smoothly and efficiently. Plus, with advanced security features like built-in malware protection and encryption capabilities, you can rest easy knowing your data is safe and secure.
Upgrade to Win11 Pro 64BIT Eng DVD version today and experience the future of computing. Don’t miss out on this opportunity to take your productivity to the next level. Order your copy now and unleash the full potential of your PC!
#Win11 #Pro #64BIT #Eng #DVD #version,win 11 proWin11 Pro 64BIT Eng DVD v
Win11 Pro 64BIT Eng DVD v
Price : 38.99
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“Get the Latest Windows 11 Pro 64BIT Eng DVD Version – Upgrade Your System Today!”
#Win11 #Pro #64BIT #Eng #DVD,win 11 pro
Generative Analysis: The Power of Generative AI for Object-Oriented Software Eng
Generative Analysis: The Power of Generative AI for Object-Oriented Software Eng
Price : 69.13
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ineeringGenerative AI has been making waves in various industries, but its impact on object-oriented software engineering is particularly noteworthy. This cutting-edge technology has the power to revolutionize the way software is developed, accelerating the process and enhancing the quality of the final product.
One of the key benefits of generative AI in object-oriented software engineering is its ability to automate repetitive tasks. This includes generating code, designing user interfaces, and even identifying and fixing bugs. By streamlining these processes, developers can focus on more complex and creative tasks, ultimately leading to more innovative and efficient software solutions.
Generative AI can also assist in the optimization of software architecture. By analyzing existing codebases and identifying patterns and best practices, AI algorithms can suggest improvements and optimizations, leading to more robust and scalable software systems.
Furthermore, generative AI can facilitate collaboration among software development teams. By generating code snippets, prototypes, and design suggestions, AI can help team members communicate more effectively and align on the best solutions for a given problem.
Overall, the power of generative AI in object-oriented software engineering is immense. By automating repetitive tasks, optimizing software architecture, and enabling collaboration, this technology has the potential to transform the way software is developed and revolutionize the industry as a whole.
#Generative #Analysis #Power #Generative #ObjectOriented #Software #Eng
Soft Computing Techniques in Voltage Security Analysis by Kabir Chakraborty (Eng
Soft Computing Techniques in Voltage Security Analysis by Kabir Chakraborty (Eng
Price : 151.68
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Soft computing techniques, such as artificial neural networks, fuzzy logic, and genetic algorithms, have been increasingly used in voltage security analysis in power systems. These techniques are able to handle the uncertainty and complexity of power systems more effectively than traditional methods.In a recent study by Kabir Chakraborty, a researcher in the field of power systems, soft computing techniques were applied to voltage security analysis. The results showed that these techniques were able to accurately predict voltage stability and identify potential voltage security issues in power systems.
Chakraborty’s research highlights the potential of soft computing techniques in improving the reliability and efficiency of power systems. By incorporating these advanced techniques into voltage security analysis, power system operators can better mitigate voltage stability issues and ensure the stable operation of the grid.
Overall, the use of soft computing techniques in voltage security analysis represents a promising approach to enhancing the resilience and stability of power systems. Kabir Chakraborty’s research contributes to the growing body of knowledge in this area and underscores the importance of leveraging advanced technologies to address the challenges facing modern power systems.
#Soft #Computing #Techniques #Voltage #Security #Analysis #Kabir #Chakraborty #Eng, Data Center Electrical Systems
Explainable Deep Learning AI: Methods and Challenges by Jenny Benois-Pineau (Eng
Explainable Deep Learning AI: Methods and Challenges by Jenny Benois-Pineau (Eng
Price : 180.67
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)In her recent paper, “Explainable Deep Learning AI: Methods and Challenges,” Jenny Benois-Pineau delves into the complexities of creating AI systems that are not only accurate but also transparent and interpretable. The rise of deep learning has revolutionized the field of artificial intelligence, but the “black box” nature of many deep learning models has raised concerns about their reliability and trustworthiness.
Benois-Pineau highlights the importance of explainability in AI systems, especially in high-stakes applications such as healthcare, finance, and autonomous vehicles. She introduces several methods for making deep learning models more explainable, including feature visualization, attention mechanisms, and model-agnostic techniques like LIME and SHAP.
However, Benois-Pineau also acknowledges the challenges of creating explainable deep learning AI. These challenges include the trade-off between model complexity and interpretability, the need for domain-specific knowledge to interpret model outputs, and the potential for adversarial attacks to undermine the reliability of explainable AI systems.
Overall, Benois-Pineau’s paper provides a comprehensive overview of the methods and challenges of creating explainable deep learning AI. By addressing these challenges, researchers and practitioners can build AI systems that are not only accurate but also transparent and trustworthy, paving the way for safer and more ethical applications of artificial intelligence.
#Explainable #Deep #Learning #Methods #Challenges #Jenny #BenoisPineau #Eng
Supervised Sequence Labelling with Recurrent Neural Networks by Alex Graves (Eng
Supervised Sequence Labelling with Recurrent Neural Networks by Alex Graves (Eng
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Supervised Sequence Labelling with Recurrent Neural Networks by Alex Graves (Eng)In this post, we will be discussing the groundbreaking work of Alex Graves on supervised sequence labelling with recurrent neural networks. Alex Graves is a renowned researcher in the field of machine learning and deep learning, and his work on using recurrent neural networks for sequence labelling tasks has had a significant impact on the field.
In his paper, Graves explores the use of recurrent neural networks (RNNs) for supervised sequence labelling tasks, such as speech recognition and handwriting recognition. RNNs are a type of neural network that has the ability to capture temporal dependencies in data, making them particularly well-suited for tasks where the input data is sequential in nature.
One of the key contributions of Graves’ work is the development of the Connectionist Temporal Classification (CTC) loss function, which allows RNNs to be trained end-to-end for sequence labelling tasks without the need for aligning the input and output sequences. This has greatly simplified the training process for RNNs and has made them much more effective for sequence labelling tasks.
Overall, Alex Graves’ work on supervised sequence labelling with recurrent neural networks has significantly advanced the state-of-the-art in the field and has paved the way for further research in this area. His insights and contributions have had a lasting impact on the field of deep learning, and his work continues to inspire researchers and practitioners alike.
#Supervised #Sequence #Labelling #Recurrent #Neural #Networks #Alex #Graves #Eng
A Guide to Convolutional Neural Networks for Computer Vision by Salman Khan (Eng
A Guide to Convolutional Neural Networks for Computer Vision by Salman Khan (Eng
Price : 82.97
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lish)Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision, allowing machines to understand and interpret visual data with remarkable accuracy. In this guide, we will delve into the inner workings of CNNs and explore how they are used in computer vision applications.
First, let’s start with the basics. A CNN is a type of deep neural network that is specifically designed to process visual data. It is inspired by the organization of the visual cortex in the human brain, where neurons are arranged in layers and respond to specific visual stimuli.
One of the key components of a CNN is the convolutional layer. This layer applies a series of filters to the input image, extracting features such as edges, textures, and shapes. These features are then passed on to subsequent layers for further processing.
Another important component of a CNN is the pooling layer, which reduces the spatial dimensions of the feature maps while retaining important information. This helps to make the network more robust to variations in the input data.
CNNs are typically trained using a large dataset of labeled images, where the network learns to recognize patterns and objects in the images. The network is trained using an optimization algorithm such as gradient descent, which adjusts the weights of the network to minimize the prediction error.
Once the CNN is trained, it can be used to make predictions on new, unseen images. The network processes the input image through its layers, extracting features and making a prediction based on the learned patterns.
CNNs have been used in a wide range of computer vision applications, including image classification, object detection, and image segmentation. They have achieved state-of-the-art performance on tasks such as image recognition and visual question answering.
In conclusion, Convolutional Neural Networks are a powerful tool for computer vision tasks, allowing machines to understand and interpret visual data with remarkable accuracy. By understanding the inner workings of CNNs and how they are used in practice, you can harness the power of these networks for your own computer vision projects.
#Guide #Convolutional #Neural #Networks #Computer #Vision #Salman #Khan #Eng
Global IT Outsourcing: Software Development across Borders by Sundeep Sahay (Eng
Global IT Outsourcing: Software Development across Borders by Sundeep Sahay (Eng
Price : 139.45
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Global IT Outsourcing: Software Development across Borders by Sundeep SahayIn his groundbreaking book, Sundeep Sahay delves into the complex world of global IT outsourcing and examines how software development is carried out across borders. With the rapid advancement of technology and the increasing interconnectedness of the world, IT outsourcing has become a popular choice for companies looking to cut costs and access specialized skills.
Sahay explores the various factors that drive companies to outsource their software development, such as cost savings, access to a global talent pool, and the ability to focus on core business activities. He also delves into the challenges and risks associated with outsourcing, including communication barriers, cultural differences, and intellectual property concerns.
Through case studies and real-world examples, Sahay highlights the best practices for successful IT outsourcing, including effective project management, clear communication channels, and building strong relationships with offshore teams. He also emphasizes the importance of understanding the cultural nuances of the countries where outsourcing is taking place, in order to foster collaboration and ensure project success.
Global IT Outsourcing: Software Development across Borders is a must-read for IT professionals, business leaders, and anyone interested in understanding the intricacies of outsourcing in today’s global economy. Sahay’s insights and expertise shed light on the opportunities and challenges of software development across borders, and provide valuable guidance for companies looking to navigate this complex landscape.
#Global #Outsourcing #Software #Development #Borders #Sundeep #Sahay #Eng, IT Outsourcing
