Cyberbullying has emerged as a significantly concerning online societal issue in the past few years with the proliferation of social media platforms. To address and overcome this pressing communal concern and successf...
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Timely and accurate disease diagnosis is critical for effective treatment and cost reduction. This project develops a web app utilizing machine learning to predict diseases from user-entered symptoms and recommend nea...
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A production competency study leads to a rise in the manufacturing sectors' strategic emphasis. Developing semiconductor materials is a highly complex approach that necessitates numerous evaluations. It is impossi...
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With the increasing demand for high-quality video streaming services, there is a need to enhance the Quality of Experience (QoE) for users, especially in environments with variable network conditions. This research pa...
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This paper introduces a novel associative memory design method based on neural networks which are region attractivity. For the given memory patterns, we can take any value for networks connection weights and then comp...
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The proceedings contain 102 papers. The topics discussed include: phishing detection using machine learning technique;analysis of SDLC models with web engineering principles;new era of IoT with cloud computing: a revi...
ISBN:
(纸本)9798350390179
The proceedings contain 102 papers. The topics discussed include: phishing detection using machine learning technique;analysis of SDLC models with web engineering principles;new era of IoT with cloud computing: a review of technology, issues and challenges;multi-role unmanned aerial vehicle;advanced microstrip patch antenna sensor design for salt and sugar detection in liquids to support health monitoring;techno-economic and environmental analysis of Amity University Noida rooftop SPV generation: towards a net zero future;AmiPi: artificial intelligence based interactive humanoid interface;AAWAS: an application and workload-aware scheduling technique for efficient task allocation in cloud computing environments;and exploring different bypass schemes for photovoltaic modules in partial shading conditions: a comprehensive analysis.
The research addresses the challenge of student dropouts in education institutions, recognizing the pivotal role of education in shaping the society. A research gap is identified, with limited studies effectively comb...
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Identifying crop insects and classifying them is a challenging task for agriculturalists. A transfer learning method is suggested in this paper to address this issue. The proposed approach uses InceptionV3 as a base d...
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Proton Exchange Membrane Fuel Cells (PEMFCs) play a vital role in the transition to clean energy technologies, requiring accurate and efficient models for their control, optimization, and real-time monitoring. This re...
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This review investigates how deep learning methods can be utilized for efficient image retrieval based on content. Obtaining accurate images from vast digital collections poses significant challenges, motivating resea...
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