Hate and offensive language in online platforms pose significant challenges, necessitating automatic detection methods. Particularly in the case of codemixed text, which is very common in social media, the complexity ...
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Mobile Edge Computing (MEC) and Network Function Virtualization (NFV) have emerged as viable solutions for meeting the growing need in mobile networks for low-latency, high-bandwidth, and efficient data processing. ME...
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SDN, a rising technology within the realm of Internet of Things (IoT), has been increasingly well-received in recent times. This article presents a summary of SDN along with its different elements, advantages, and dif...
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As the global population ages, neurocognitive disorders like the Alzheimer's disease which is a form of dementia, and several other forms of dementia are becoming more commonplace. These conditions significantly i...
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Cybertrolling is the act of inciting and attacking someone's emotions on a social networking platform, which occurs all over the world, including Bangladesh. Many big data applications are interested in identifyin...
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Water is supplied every day from a central reservoir by urban authorities in most of the urban areas. In water reservoirs and pipelines, water can be contaminated by pollutants in different ways. In city areas, people...
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Many continuous sign language recognition (CSLR) studies adopt transformer-based architectures for sequence modeling due to their powerful capacity for capturing global contexts. Nevertheless, vanilla self-attention, ...
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In academic research, deep learning behavior detection in films is essential for establishing a safe environment by automatically distinguishing between normal and questionable activity. To stop any financial and secu...
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Connected and Automated Vehicles (CAVs) are designed with sensors, cameras, and other computing devices to collect data to support cooperative Intelligent Transportation Systems (ITS). Many potential applications offe...
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Since the 1950s,when the Turing Test was introduced,there has been notable progress in machine language *** modeling,crucial for AI development,has evolved from statistical to neural models over the last two ***,trans...
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Since the 1950s,when the Turing Test was introduced,there has been notable progress in machine language *** modeling,crucial for AI development,has evolved from statistical to neural models over the last two ***,transformer-based Pre-trained Language Models(PLM)have excelled in Natural Language Processing(NLP)tasks by leveraging large-scale training *** the scale of these models enhances performance significantly,introducing abilities like context learning that smaller models *** advancement in Large Language Models,exemplified by the development of ChatGPT,has made significant impacts both academically and industrially,capturing widespread societal *** survey provides an overview of the development and prospects from Large Language Models(LLM)to Large Multimodal Models(LMM).It first discusses the contributions and technological advancements of LLMs in the field of natural language processing,especially in text generation and language ***,it turns to the discussion of LMMs,which integrates various data modalities such as text,images,and sound,demonstrating advanced capabilities in understanding and generating cross-modal content,paving new pathways for the adaptability and flexibility of AI ***,the survey highlights the prospects of LMMs in terms of technological development and application potential,while also pointing out challenges in data integration,cross-modal understanding accuracy,providing a comprehensive perspective on the latest developments in this field.
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