Driven by the surge in code generation using large language models (LLMs), numerous benchmarks have emerged to evaluate these LLMs capabilities. We conducted a large-scale human evaluation of HumanEval and MBPP, two p...
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Finding the necessary web service is becoming a more difficult task as a result of the web services' rapid growth in repositories. It has increased the need for effective algorithms for classifying web services. T...
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Background Breast cancer remains a serious worldwide public health problem that requires precise diagnostic tools. We compared two machine learning algorithms, Support Vector Machine (SVM) and Logistic Regression( LR)...
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Human Activity Recognition (HAR) is a fascinating process that involves identifying and categorizing human activities based on observations of subject behavior and environmental factors. Out of the major phases of HAR...
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The coronavirus disease, or COVID19, characters "CO" stand for for the corona, "VI" as virus, & "D" for disease in the context of the word COVID. It describes an infectious disease br...
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In modern time, the field of robotics is growing fast. A robot is a machine that can do physical jobs, with people overseeing and guiding it. Many robots have been developed to perform hazardous tasks that people cann...
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Energy efficiency is one of the biggest challenges in WSNs;typically, these networks are plagued with several problems such as uneven distribution of energy amongst nodes, hotspots, and clustering with big disparities...
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In today's rapidly evolving healthcare sector, the need for efficient and accessible medical assistance is more crucial than ever. With the advancements in Artificial intelligence (AI), healthcare chatbots have em...
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In the fast-changing environment of intelligent transportation systems, vehicular fog computing (VFC) is emerging as a critical technology for real-time data processing at the network's edge. This study describes ...
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This research delves into deep learning and machine vision applications for plant leaf disease detection in agricultural settings, focusing on farm village datasets. Utilizing a blend of authentic farm village data an...
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