Teletraffic Analysis of Integrated Cellular/WLAN Networks. - K. Daniel Wong; R. Rajeswari; Seh Chun Ng (MoMM, 2007)

A time-power efficient fixed point single purpose processor for mapping using ultrasound sensors. - Prabhakar Mishra; H. N. Shankar; R. Rajeswari; Mudit Mathur; Pai Dipti G. (ICUMT, 2009)

Efficient Compression of 4D fMRI Images using Bandelet Transform and Fuzzy Thresholding. - R. Rajeswari; R. Rajesh 002 (NaBIC, 2009)

Labelings in Cayley digraphs. - K. Thirusangu; Atulya K. Nagar; R. Rajeswari (Eur. J. Comb., 2011)

A method for extracting task-oriented information from biological text sources. - Dhanasekaran Kuttiyapillai; R. Rajeswari (Int. J. Data Min. Bioinform., 2015)

Microbial fuel cell-based self-powered biosensor for environment monitoring in IoT cloud framework. - K. Saravanakumar; R. Rajeswari (Concurr. Comput. Pract. Exp., 2019)

A recursive discrete Kalman filter for the generation of reference signal to UPQC with unbalanced and distorted supply conditions. - P. Venkatesh Kumar; R. Rajeswari (Int. J. Model. Identif. Control., 2019)

Design of miniaturized directional ultra wide band antenna for cancer detection. - V. Nagaraju; R. Rajeswari; L. FranklinTelfer; A. Karunakaran; B. R. Tapas Bapu (Int. J. RF Technol. Res. Appl., 2019)

MVPO Predictor: Deep Learning-Based Tumor Classification and Survival Prediction of Brain Tumor Patients with MRI Using Multi-Verse Political Optimizer. - R. Rajeswari; G. Neelima; Balajee Maram; Anupama Angadi (Int. J. Pattern Recognit. Artif. Intell., 2022)

FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. - R. Rajeswari; Veerraju Gampala; Balajee Maram; Rajan Cristin (J. Digit. Imaging, 2022)

Prediction of Brinjal Plant Disease Using Support Vector Machine and Convolutional Neural Network Algorithm Based on Deep Learning. - Venkataramana Attada; K. Suresh Kumar; N. Suganthi; R. Rajeswari (J. Mobile Multimedia, 2022)

Wavelet scattering transform and long short-term memory network-based noninvasive blood pressure estimation from photoplethysmograph signals. - N. Jean Effil; R. Rajeswari (Signal Image Video Process., 2022)

Squirrel Search Deer Hunting-Based Deep Recurrent Neural Network for Survival Prediction Using PAN-Cancer Gene Expression Data. - Ramachandro Majji; R. Rajeswari; Ch. Vidyadhari; Rajan Cristin (Comput. J., 2023)

Chronological horse herd optimization-based gene selection with deep learning towards survival prediction using PAN-Cancer gene-expression data. - Ramachandro Majji; Balajee Maram; R. Rajeswari (Biomed. Signal Process. Control., 2023)

Smart IoT in Breast Cancer Detection Using Optimal Deep Learning. - Ramachandro Majji; Om Prakash P. G; R. Rajeswari; Rajan Cristin (J. Digit. Imaging, 2023)

Political exponential deer hunting optimization-based deep learning for brain tumor classification using MRI. - S. Rajakumar; V. Agalya; R. Rajeswari; Rohit Pachlor (Signal Image Video Process., 2023)

ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System. - R. Rajeswari; G. V. Sriramakrishnan; Ch. Vidyadhari; K. V. Kanimozhi (J. Digit. Imaging, 2023)

DFMN: Dense fused Maxout network for severity prediction of brain tumor using hybrid tumor segmentation algorithm. - R. Rajeswari; Santhoshini Sahu; Ramamani Tripathy; Manikonda Srinivasa Sesha Sai (Biomed. Signal Process. Control., 2024)

Artificial gannet optimization enabled deep convolutional neural network for autism spectrum disorders classification using MRI image. - Vadamodula Prasad; R. Ganeshan; R. Rajeswari (Multim. Tools Appl., 2024)

Rat swarm political optimizer based deep learning approach for lung lobe segmentation and lung cancer detection using CT images. - N. Velmurugan; R. Rajeswari; Satuluri Naganjaneyulu; A. Anupama (Biomed. Signal Process. Control., 2025)