Ashwin Natraj Arun, Byunghyun Lee, Fabio A. Castiblanco, Dennis R. Buckmaster, Chih-Chun Wang, David J. Love, James V. Krogmeier, M. Majid Butt, Amitava Ghosh
{"title":"Ambient IoT: Communications Enabling Precision Agriculture","authors":"Ashwin Natraj Arun, Byunghyun Lee, Fabio A. Castiblanco, Dennis R. Buckmaster, Chih-Chun Wang, David J. Love, James V. Krogmeier, M. Majid Butt, Amitava Ghosh","doi":"10.1109/mcom.003.2400508","DOIUrl":"https://doi.org/10.1109/mcom.003.2400508","url":null,"abstract":"","PeriodicalId":55030,"journal":{"name":"IEEE Communications Magazine","volume":"26 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143745042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Han Zeng, Haibo Wang, Kan Wang, Xutao Yu, Zaichen Zhang
{"title":"Enhancing Robustness in Hybrid FSO/RF Systems: A Feedback-Free Approach Leveraging Deep Learning for Real-Time Power Allocation","authors":"Han Zeng, Haibo Wang, Kan Wang, Xutao Yu, Zaichen Zhang","doi":"10.1109/jiot.2025.3556401","DOIUrl":"https://doi.org/10.1109/jiot.2025.3556401","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"19 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143744958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ran Wang, Fuqiang Ma, Shihong Duan, Zhiyuan Su, Xiaotong Zhang, Cheng Xu
{"title":"Toward Big-Data Sharing: A Unified Trusted Remote Attestation Scheme based on Blockchain","authors":"Ran Wang, Fuqiang Ma, Shihong Duan, Zhiyuan Su, Xiaotong Zhang, Cheng Xu","doi":"10.1109/jiot.2025.3555880","DOIUrl":"https://doi.org/10.1109/jiot.2025.3555880","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"75 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143745069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An IoMT-Enabled Surgical Monitoring System Utilizing Robotics and AI With E2ARiA-RESNET-50 and MI-KMEANS","authors":"Dinesh Kumar Reddy Basani, Basava Ramanjaneyulu Gudivaka, Rajya Lakshmi Gudivaka, Raj Kumar Gudivaka, Sri Harsha Grandhi, Faheem khan","doi":"10.1002/ett.70082","DOIUrl":"https://doi.org/10.1002/ett.70082","url":null,"abstract":"<div>\u0000 \u0000 <p>Robotic automated Surgery uses robots to assist with surgeries, making procedures more precise and recovery faster. It is popular in healthcare because it enables surgeries with smaller incisions, leading to quicker healing and shorter hospital stays. However, existing research often neglects the implementation of strong safety measures and fail-safes in robotic surgical systems. Therefore, this paper presents a robotic-based AI framework for monitoring the surgical phase, utilizing E2ARiA-RESNET-50 AND MI-KMEANS. Initially, the input video is preprocessed, including frame conversion, key frame extraction, blur and distortion removal using AKRDF with sharpening. Next, data are balanced using SMOTE. Super-resolution is then performed using PWLC-SRGAN, followed by variability analysis in tissue appearance using MI-KMEANS and patch extraction. In the meantime, from super-resolution, segmentation is done by ROI-WA, followed by masking. Then, features are extracted from both patch-extracted and masked images. Finally, these extracted features are classified using E2ARiA-RESNET-50 for monitoring. The experimental results revealed that the proposed model reached a high accuracy of 98.625%, outperforming traditional methods.</p>\u0000 </div>","PeriodicalId":23282,"journal":{"name":"Transactions on Emerging Telecommunications Technologies","volume":"36 4","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}