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Progressing Multilingual Complex Named Entity Identification Using the AL-R Model

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introductory In the field of Natural Language Processing (NLP), Multilingual Complex Named Entity Recognition (NER) is an important task. Identification and classification of complex named entities in multilingual texts are involved. Simple names of people or organizations to intricate structures like compound names and nested entities might be included in this category. There are many …

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 Using Day-to-Night Image Synthesis to Teach Neural ISPs for Nighttime Training

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introductory Neural Image Signal Processors (ISPs) have developed into a game-changing technology in the field of computational photography. Driven by deep learning algorithms, these ISPs are remarkably capable of improving image quality, fixing flaws, and adjusting to a variety of lighting situations. But as far as taking pictures at night or in low light, they …

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 Detecting Depression, Anxiety, and Mental Stress in One Sequential Model with Multi-task Learning

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Introduction In an era where mental health detection and intervention are of paramount importance, a revolutionary approach is emerging—one that utilizes the power of multi-task learning to detect and address depression, anxiety, and mental stress concurrently. This innovative technique not only streamlines the process of mental health assessment but also enhances the overall well-being of …

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Advancements in Dual-Pixel Image Defocus Deblurring at ICME 2022

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Introduction The International Conference on Multimedia and Expo (ICME) is an esteemed annual event that showcases cutting-edge developments in multimedia technology and its applications. In the 2022 edition of ICME, one standout topic of discussion was the significant advancements in Dual-Pixel Image Defocus Deblurring. This article delves into the highlights of this breakthrough technology and …

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Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer

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Introduction In the realm of computer vision and deep learning, breakthroughs continue to transform image processing. A specific area where significant strides have been made is image deblurring. This article delves into a pioneering approach known as the “Dynamic Multi-scale Network with Transformer” for tackling defocus deblurring, with a particular emphasis on its application to …

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Integrated Difficulty Pre-Assessment in Dynamic Video Frame Interpolation

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introductory Ensuring smooth transitions between frames and high-quality video is crucial in the dynamic world of creating video content. This is where Video Frame Interpolation (VFI) comes into play, enhancing a video sequence’s overall visual attractiveness and balancing the flow of its frames. Not every video clip, though, requires the same level of complex interpolation …

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 Empowering the Telecommunication System with Reinforcement Learning

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Introduction Telecommunication systems, the backbone of modern communication networks, face myriad challenges in ensuring efficient network management, resource allocation, and overall system efficiency. In recent years, the integration of reinforcement learning (RL) has emerged as a transformative approach to overcome these challenges and revolutionize the telecommunication sector. In this article, we explore how RL is …

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 Utilizing a Hybrid Machine Learning Approach with Denoising and Inpainting to Provide Precise Positioning in NLOS Situations

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introductory From drone delivery services and self-driving cars to location-based smartphone applications, precise positioning and navigation have become indispensable in many applications. Still, obtaining accurate positioning is a major difficulty, particularly in Non-Line-of-Sight (NLOS) settings. Hybrid Machine Learning with Denoising and Inpainting is a novel approach that academics have created to overcome this difficulty. This …

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 Enhanced Bi-directional Motion Estimation for Video Frame Interpolation

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Introduction Video frame interpolation is a sophisticated technique used in the video processing domain to enhance the smoothness and quality of videos, especially in cases where the original frame rate is lower than desired. One of the critical components of video frame interpolation is bi-directional motion estimation, which determines how objects in the video move …

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 Changing the Daily Life of the Future: SDC21 Experts Discuss Next-Generation Technologies

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Introduction The Samsung Developer Conference 2021 (SDC21) served as a remarkable gathering of visionaries, technologists, and developers from across the globe. This annual event, hosted by Samsung, provided a platform for experts to delve into the future of technology and explore how next-generation technologies are poised to transform our daily routines and enhance the quality …

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