Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

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An Enhanced BERT Model for Depression Detection on Social Media Posts,rately identify postings that are connected to anxiety and depression. In addition, an intelligence distillation approach is a present method for transferring information from a large pretrained model BERT to a reduced model in instruction to expand the performance and accuracy of the smaller model.

重力

Quality Prediction of a Stack Overflow Question Using Machine Learning,for transforming human language into system-interpretable data as a result of the technological advancement in these approaches. This research presents various techniques that are implemented to predict the quality of questions. To analyze the textual data of 60,000 questions, the Lexicon-based Sent

ENNUI

,Decision-Making Framework for Supplier Selection Using an Integrated Approach of Dempster–Shafer Thinto decision-making processes. Our proposed approach harnesses the strengths of both the Dempster–Shafer theory and the Maximum Entropy Principle to enhance the supplier selection process. The decision-making framework is designed to handle the inherent uncertainty, subjectivity, and imprecision as

万花筒

Using Historical Trip Information to Determine the Waiting Time Required for Taxi Services,waiting time by eCabs is slightly more accurate than predicted. Integrating GPS vehicle locations, traffic and weather data from a business application would be helpful and should significantly improve the prediction accuracy.

歌剧等

The Impact of Cesarean Section Trends and Associated Complications in the Current World: A Compreheirth records from four different hospitals in Spain, encompassing 161 distinct features. By leveraging regression analysis-based machine learning methods, we strive to enhance the decision-making process and ultimately improve the safety outcomes for mothers and infants.

nocturia

Differential Evolution Wrapper-Based Feature Selection Method for Stroke Prediction,d random forest algorithm are evaluated. Using a wrapper-based feature selection method, this work identifies critical characteristics, and then proposes stroke prediction accuracy estimation. The following are the findings from our investigation into methods for selecting features that make use of

遍及

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Performance Analysis of Deep CNN, YOLO, and LeNet for Handwritten Digit Classification,ing approaches for effective and precise digit recognition, which can be expanded to numerous real-world applications needing accurate and dependable recognition of digits written on paper. This research has achieved the highest accuracy of 99.38% for LeNet-5.

Latency

Data-Driven Decision Support Systems in E-Governance: Leveraging AI for Policymaking, based on impartial research and data. The paper also examines the difficulties and factors to be considered when implementing AI in decision support systems for e-governance. With an emphasis on the significance of responsible AI governance frameworks, ethical issues, including algorithmic bias, tr

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The Infrastructure Development of Contemporary Medical Devices Based on Internet of Things Technolocussed in this paper, e.g., communication standards for connectivity, artificial intelligence algorithms for data analysis, and cloud computing have various implementation requirements. Finally, the networking technical goals of IoT are discussed for specifying the reliability and efficiency of the