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Titlebook: Intelligent Human Centered Computing; Proceedings of HUMAN Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Muf Conference proceedings 2023 T

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楼主: Hermit
发表于 2025-3-28 16:56:06 | 显示全部楼层
Optimization of Intraday Trading in F&O on the NSE Utilizing BOLLINGER BANDS,y in determining whether the present price is abnormally high or low. People frequently use upper and lower bands in conjunction with a moving average. Moreover, the bands were designed to work together and will not function properly if used independently. Combine with additional indications that wo
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Intellectual Property in Human Genomics in India, of international scientific collaboration. Genomics represents the intersection of intellectual Property, development, and globalization..This chapter focuses on genetics’ physiological, legal, ethical, and sociological issues and implications. The chapter examines the impact of genomics on individ
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IoT Based Automatic Temperature Screening & Alert System for Symptomatic COVID-19 Detection,son and if it is more than the normal range (98.6 ºF) an alarm will start buzzing with a caution message on the display. In addition to temperature screening, this device can be further used as a self-attendance system in close premises, especially with office employees or staffs at corporate areas.
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,Prognostic Stage Classification for Invasive Breast Cancer by Analysing Affected Lymph Node, Necessary features (such as mitotic count, tubule formation, estrogen receptor etc.) which are highly correlated with the crucial features are used to enhance the performance of the model. The performance of the proposed model evaluated on malignant data where stage-to-stage classification is perfo
发表于 2025-3-30 02:11:56 | 显示全部楼层
Study of Task Scheduling Algorithms for Energy Minimization in a Cloud Computing Environment,ervice providers, such as Particle swarm optimization (PSO), Crow search algorithm (CSA), and Sparrow search algorithm (SSA). Several variables, including reaction time, load balance, execution time, and makespan, are examined to determine the best effective strategy for task scheduling under any co
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,Human Stress Detection from SWCT EEG Data Using Optimised Stacked Deep Learning Model,TM) and Long Short Term Memory (LSTM) model for the classification of stress and relaxed state in individuals. The proposed model tends to be precise, with the highest classification accuracy of 98.07%.
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