Anaemia, a condition characterised by reduced haemoglobin levels, exerts a significant global impact, affecting billions of individuals worldwide. According to data from the World Health Organisation (WHO), India exhi...
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Ransomware is one of the most advanced malware which uses high computer resources and services to encrypt system data once it infects a system and causes large financial data losses to the organization and individuals...
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Currently,e-learning is one of the most prevalent educational methods because of its need in today’s *** classrooms and web-based learning are becoming the new method of teaching *** students experience a lack of acc...
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Currently,e-learning is one of the most prevalent educational methods because of its need in today’s *** classrooms and web-based learning are becoming the new method of teaching *** students experience a lack of access to resources commonly the educational *** remote loca-tions,educational institutions face significant challenges in accessing various web-based materials due to bandwidth and network infrastructure *** objective of this study is to demonstrate an optimization and queueing tech-nique for allocating optimal servers and slots for users to access cloud-based e-learning *** proposed method provides the optimization and queue-ing algorithm for multi-server and multi-city constraints and considers where to locate the best *** optimal server selection,the Rider Optimization Algo-rithm(ROA)is utilized.A performance analysis based on time,memory and delay was carried out for the proposed methodology in comparison with the exist-ing *** proposed Rider Optimization Algorithm is compared to Par-ticle Swarm Optimization(PSO),Genetic Algorithm(GA)and Firefly Algorithm(FFA),the proposed method is more suitable and effective because the other three algorithms drop in local optima and are only suitable for small numbers of user *** the proposed method outweighs the conventional techniques by its enhanced performance over them.
Electrocardiography (ECG) is a commonly used diagnostic tool in the clinical setting for detecting cardiovascular diseases (CVDs). However, its manual interpretation can be time-consuming and prone to human error. Wit...
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This article investigates the impact of Artificial Intelligence (AI) and ChatGPT in the business sector. It highlights the evolution of AI, focusing on the integration and applications of technologies like machine lea...
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ChatGPT explores a strategic blueprint of question answering(QA) to deliver medical diagnoses, treatment recommendations, and other healthcare support. This is achieved through the increasing incorporation of medical ...
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ChatGPT explores a strategic blueprint of question answering(QA) to deliver medical diagnoses, treatment recommendations, and other healthcare support. This is achieved through the increasing incorporation of medical domain data via natural language processing(NLP) and multimodal paradigms. By transitioning the distribution of text, images, videos, and other modalities from the general domain to the medical domain, these techniques have accelerated the progress of medical domain question answering(MDQA). They bridge the gap between human natural language and sophisticated medical domain knowledge or expert-provided manual annotations, handling large-scale, diverse, unbalanced, or even unlabeled data analysis scenarios in medical contexts. Central to our focus is the utilization of language models and multimodal paradigms for medical question answering, aiming to guide the research community in selecting appropriate mechanisms for their specific medical research *** tasks such as unimodal-related question answering, reading comprehension, reasoning, diagnosis, relation extraction, probability modeling, and others, as well as multimodal-related tasks like vision question answering, image captioning, cross-modal retrieval, report summarization, and generation, are discussed in detail. Each section delves into the intricate specifics of the respective method under consideration. This paper highlights the structures and advancements of medical domain explorations against general domain methods, emphasizing their applications across different tasks and datasets. It also outlines current challenges and opportunities for future medical domain research,paving the way for continued innovation and application in this rapidly evolving field. This comprehensive review serves not only as an academic resource but also delineates the course for future probes and utilization in the field of medical question answering.
Quality degradation due to the compression and the transmission of images is a significant threat to multimedia applications. Blind image quality assessment (BIQA) is a principal technique to measure the distortion an...
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Nowadays, high energy amount is being wasted by computing servers and personal electronic devices, which produce a high amount of carbon dioxide. Thus, it is required to decrease energy usage and pollution. Many appli...
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Industrial and human waste releases sulphur and fluoride metals into the water sources, polluting them and endangering humans and the environment. There are various methods available for removals of the pollutants fro...
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Industrial and human waste releases sulphur and fluoride metals into the water sources, polluting them and endangering humans and the environment. There are various methods available for removals of the pollutants from the water. The membrane filtering and Chemical precipitation are more expensive, useless at low metal concentrations, and produce vast amounts of sludge and toxic by products that must be disposed of when treating big volumes of water. Alternative the wastewater treatment using the biosorption technology is environmentally friendly method. These methods are cheaper, more accessible, and reusable than traditional ones. Biomass can be treated physically and chemically treated before usage. The other parameters included the contact time, agitation speed, adsorbent dosage, pH, and temperature also affects the biosorption performances. After the removal of sulphur and fluorides from water, the bio-sorbent can be regenerated and reused to save money. Wastewater pollution removal using adsorption method is generally accepted. In the present scenario, the magnetic biosorbents and nanoparticles biosorbents are used for wastewater treatment have been developed. The magnetic biosorbents are attractive because to their various active sites, large specific surface area, easy separation, and lower cost. Chemical activations like acid, alkali, and salt improve biosorbents adsorption. In this observe, the various biosorbents have been developed for their better performance on defluoridation and desulphuridation. Due to different scientific barriers in the biosorption procedures those obstruct its commercialization;there has been a gradually rising consideration in this area of study. Of late more consideration is being paid in the formation of cost-effective adsorbents using various agricultural wastes, plant biomass, bacteria, algae and fungi. This review article highlights the applications of different biosorbents, sorption isotherm, and kinetics. In addition, the
Diabetic kidney disease (DKD) is a diabetic condition in which elevated blood sugar levels harm the kidney's filtering units, leading to kidney damage and potentially, kidney failure. About 700 million people effe...
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