{"title":"Guest Editorial Special Issue on Machine Learning for Radio Frequency Sensing","authors":"Avik Santra;Ashish Pandharipande;Pu Perry Wang;George Shaker;Bhavani Shankar Mysore;Guido Dolmans;Yan Chen;Negin Shariati Moghadam","doi":"10.1109/JSEN.2025.3573462","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3573462","url":null,"abstract":"","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 13","pages":"23163-23163"},"PeriodicalIF":4.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11071932","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Zheng;Yixuan Wang;Jinglong Niu;Yan Shi;Fei Xie
{"title":"Identifying the Respiratory Sound Based on Single-Channel Separation and Hyperdimensional Computing","authors":"Jie Zheng;Yixuan Wang;Jinglong Niu;Yan Shi;Fei Xie","doi":"10.1109/JSEN.2025.3557909","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3557909","url":null,"abstract":"In intensive care units (ICUs), efficient respiratory management, particularly sputum suction in weakened patients, is critical. Traditional stethoscope-based methods for respiratory sound analysis in tracheal sputum assessment are time-consuming and often struggle to differentiate between cardiac and respiratory sounds, affecting sputum detection accuracy. To address these issues, we propose identifying respiratory sound based on single-channel separation and hyperdimensional computing (IRS-SSHC). Specifically, the proposed method first employs an encoder-decoder framework to effectively separate heart and respiratory sounds in the time domain. Then, it segments respiratory sounds using short-duration energy, where each segment is represented by a 1024-D vector space. Next, it utilizes light gradient boosting machine (LightGBM) based on the vector space for classification. Experimental results show that the classification ACC of IRS-SSHC is 97.9%, which outperforms existing methods.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 13","pages":"24626-24633"},"PeriodicalIF":4.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preparation of Nanofibrous Membranes Containing Carbon Dots Composited With TiO2 Photocatalyst and Their Removal Rate of Methylene Blue Under Visible Light","authors":"Yu-Hsun Nien;Yu-Ping Wang","doi":"10.1109/TNANO.2025.3584828","DOIUrl":"https://doi.org/10.1109/TNANO.2025.3584828","url":null,"abstract":"As the industrialization is improving by way of science and technology in society, water pollution has become increasingly serious. Non-degradable organic matter exists in wastewater, which causes environmental deterioration. In order to solve this problem, we select titanium dioxide (TiO<sub>2</sub>) as the photocatalyst material with high activity, chemical stability and low cost. However, pure TiO<sub>2</sub> has a large band gap (3.2 eV) and can only be activated under ultraviolet (UV) light. Therefore, TiO<sub>2</sub> has to be modified to fit our requirement. Carbon dots (CDs) have up-conversion and down-conversion photoluminescence and inhibit the recombination of electron-hole pairs, Adding CDs can reduce the band gap width of TiO<sub>2</sub>, and increase the absorption of visible light significantly, thereby improving photocatalytic efficiency. We use citric acid as the carbon source and urea as the nitrogen source to prepare CDs by using the hydrothermal method, and prepare the CDs/TiO<sub>2</sub> composite photocatalyst through the sol-gel method. The CDs/TiO<sub>2</sub> composite photocatalyst shows stable and efficient photocatalytic performance for removal of methylene blue (MB), with a removal rate of 95.34%. In order to reuse the CDs/TiO<sub>2</sub> composite photocatalyst powder, we use electrospinning technology to combine CDs/TiO<sub>2</sub> composite photocatalyst with nylon 6,6 nanofibrous membranes. After three cycle tests, we confirm that it is recyclable and practical, and its removal rate is also increased to 99.39%.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"24 ","pages":"338-346"},"PeriodicalIF":2.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Learning Based Inverse Design of Nanoscale Optical Bandpass Filter for Sub-THz 6G Network","authors":"P. Agilandeswari;G. Thavasi Raja;R. Rajasekar","doi":"10.1109/TNANO.2025.3584854","DOIUrl":"https://doi.org/10.1109/TNANO.2025.3584854","url":null,"abstract":"In this paper, the novel deep learning-based nano scale optical filter is designed with narrow bandwidth for 6G network and Dense Wavelength Division Multiplexing (DWDM) systems. The hybrid Long Short-Term Memory Neural Network (LSTM-NN)-transformer based deep learning algorithm is implemented to accurately predict the structural parameter of the optical bandpass filter. The inverse design approach-based hybrid deep learning model is designed to improve the performance of the optical bandpass filter. The photonic filter performance parameters are numerically analyzed by Finite Difference Time Domain (FDTD) method. The proposed hybrid model is designed with very low mean square error of 5.4207 × 10<sup>−8</sup> and less computation time of 834.81 seconds. The presented photonics platform is designed with narrow bandwidth of 1.12 THz and footprint is very compact as about 134 μm<sup>2</sup>. Therefore, the proposed optical filter is highly suitable for photonic integrated circuits and lightwave communication systems.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"24 ","pages":"347-355"},"PeriodicalIF":2.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Analysis of Modified Double Ring Resonator With Embedded High Contrast Optical Bragg Grating as an Optical Filter and a Biosensor","authors":"Aman Shekhar;Sanjoy Mandal","doi":"10.1109/TNANO.2025.3584047","DOIUrl":"https://doi.org/10.1109/TNANO.2025.3584047","url":null,"abstract":"This paper presents a novel design and performance analysis of a modified double-ring resonator (MDRR) integrated with high contrast optical Bragg grating (HCOBG) structure functioning as an optical filter and a biosensor. The MATLAB environment is used to analyze the configuration’s output, and the finite-difference time-domain (FDTD) numerical approach is employed to model the configuration as a biosensor. The grating-assisted Modified Double Ring Resonator is optimized for precise filtering in optical communication systems and high sensitivity in biosensing applications. Sufficiently large free spectral range (FSR) with high biosensing sensitivity and figure of merit (FOM) of 1057.094 nm per refractive index unit (RIU) and 107.003 RIU<inline-formula><tex-math>$^{-1}$</tex-math></inline-formula> respectively, the proposed configuration demonstrates potential for high-performance optical filtering for dense wavelength division multiplexing (DWDM) systems as well as improved biosensing for critical biomedical applications.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"24 ","pages":"330-337"},"PeriodicalIF":2.1,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on “Reliability of Advanced Nodes”","authors":"","doi":"10.1109/JPHOTOV.2025.3576533","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3576533","url":null,"abstract":"","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 4","pages":"626-627"},"PeriodicalIF":2.5,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11045341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Transactions on Sustainable Energy Publication Information","authors":"","doi":"10.1109/TSTE.2025.3576553","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3576553","url":null,"abstract":"","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"C2-C2"},"PeriodicalIF":8.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11045567","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}