欢乐东方
发表于 2025-3-23 09:48:31
,Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Imnique is proposed to isolate the Region of Interest. The performance of the proposed technique is compared with that of the conventional segmentation techniques. IACM removes the undesirable regions and is successful in detecting the Region of Interest of any shape and size.
Anecdote
发表于 2025-3-23 17:13:50
2367-3370 rence resource for researchers and practitioners in academia.This book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 26–27, 20
推崇
发表于 2025-3-23 21:24:54
http://reply.papertrans.cn/47/4700/469982/469982_13.png
即席演说
发表于 2025-3-23 23:26:41
Performance Evaluation of Hierarchical Clustering Protocols in WSN Using MATLAB,ralized LEACH, SEP, DEEC, and developed DEEC protocols under different scenarios such as change in the sink position and change in the area. We evaluated and compared them on performance metrics such as network lifetime, throughput, and energy consumption.
LAVE
发表于 2025-3-24 05:27:10
http://reply.papertrans.cn/47/4700/469982/469982_15.png
大气层
发表于 2025-3-24 07:29:01
http://reply.papertrans.cn/47/4700/469982/469982_16.png
Tractable
发表于 2025-3-24 13:05:30
http://reply.papertrans.cn/47/4700/469982/469982_17.png
巡回
发表于 2025-3-24 18:30:25
http://reply.papertrans.cn/47/4700/469982/469982_18.png
农学
发表于 2025-3-24 19:18:11
,Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest,ed an algorithm to identify the most discriminative range of MRI slices at the subject level to differentiate between Normal Cohorts (NC) and Parkinson’s Disease (PD) subjects. We have also focused on handling data leakage and verified the model generalizability using Stratified k-fold cross-validation.
为宠爱
发表于 2025-3-24 23:11:43
Deep Learning in Precision Medicine,terdisciplinary domain, healthcare system is now amalgamated with advance AI domains like Deep Learning, Machine Learning, Big Data, etc. The paper summarizes the applications of Deep Learning in several medical sectors and discusses various algorithms adopted by researchers to include the power of Deep Learning in current medical system.