Most Recent Additions
Artificial Neural Network Model for Predicting Fatigue Endurance Limit of Hot Mix Asphalt Using Uniaxial Tension–Compression Tests
Prashanta Kumar Acharjee, Mayzan Isied, Mena I. Souliman, Sameer Jung Karkl, Tanvir Ahmed, and Gokhan Saygili
Cardiorespiratory Monitoring Data to Predict Respiratory Outcomes in Extremely Preterm Infants
Namasivayam Ambalavanan; Debra E. Weese-Mayer; Anna Maria Hibbs; Nelson Claure; Premananda Indic; and Additional Authors, Prematurity-related Ventilatory Control (Pre-Vent) Investigators
Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants
Jiaxing Qui; Juliann M. Di Fiore; Narayanan Krishnamurthi; Premananda Indic; and Additional Authors, Prematurity-related Ventilatory Control (Pre-Vent) Investigators
Road Map of Semiconductor Metal-Oxide-Based Sensors: A Review
Taposhree Dutta, Tanzila Noushin, Shawna Tabassum, and Satyendra K. Mishra
Wireless power transfer using electronic textiles: A comparative review
Showrov Rahman, Marjan Al Haque, Mohammad Solaiman, Rashed Hasan Ratul, Istiak Ahmed, Shawana Tabassum, and Izabela Ciesielska-Wrobel
Stretchable Sensors for Soft Robotic Grippers in Edge-Intelligent IoT Applications
Prosenjit Kumar Ghosh and Prabha Sundaravadivel
CMOS-Based Memristor Emulator Circuits for Low-Power Edge-Computing Applications
Prosenjit Kumar Ghosh, Shah Zayed Riam, Md Sharif Ahmed, and Prabha Sundaravadivel
Lactation physiokinetics—using advances in technology for a fresh perspective on human milk transfer
Jimi Francis, Paul Flynn, Maisha Naowar, Premananda Indic, and Darby Dickton
Development of Grid-Forming and Grid-Following Inverter Control in Microgrid Network Ensuring Grid Stability and Frequency Response
V. Vignesh Babu, J. Preetha Roselyn, C. Nithya, and Prabha Sundaravadivel
Coordination of SRF-PLL and Grid Forming Inverter Control in Microgrid with Solar PV and Energy Storage
V. Vignesh Babu, J. Preetha Roselyn, and Prabha Sundaravadivel
Emerging Technologies for Automation in Environmental Sensing: Review
Shekhar Suman Borah, Aaditya Khanal, and Prabha Sundaravadivel
Integrating Edge-Intelligence in AUV for Real-Time Fish Hotspot Identification and Fish Species Classification
U. Sowmmiya, J. Preetha Roselyn, and Prabha Sundaravadivel
The Sentience of the Horse and the Philosophy of Natural Horsemanship: Implications for HRD Leadership
Rob E. Carpenter
Electrospun Ibuprofen-Loaded Blend PCL/PEO Fibers for Topical Drug Delivery Applications
Diala Bani Mustafa, Tsuyoshi Sakai, Osamu Sato, Mitsuo Ikebe, and Shih-Feng Chou
Prediction of Transient Hydrogen Flow of Proton Exchange Membrane Electrolyzer Using Artificial Neural Network
Mohammad Biswas, Tabbi Wilberforce, and Mohammad A. Biswas
Design Optimization of the Lift Mechanism in the Robotic Walking Training Device Using the Engineering Design Methodology
Austin Bourgeois, Brian Rice, and Chung-Hyun Goh
Redesign of Leg Assembly and Implementation of Reinforcement Learning for a Multi-Purpose Rehabilitation Robotic Device (RoboREHAB)
Jacob Anthony, Chung-Hyun Goh, Alireza Yazdanshenas, and Yong Tai Wang
A Nonlinear Impact-Driven Triboelectric Vibration Energy Harvester for Frequency Up-Conversion
Hadeel Abumarar and Alwathiqbellah Ibrahim
Fabrication of drug-eluting polycaprolactone and chitosan blend microfibers for topical drug delivery applications
Mulugeta Gizaw, Diala Bani Mustafa, and Shih-Feng Chou
Effects of Poloxamers as Excipients on the Physicomechanical Properties, Cellular Biocompatibility, and In Vitro Drug Release of Electrospun Polycaprolactone (PCL) Fibers
Addison Fagile, Rachel Emerine, and Shih-Feng Chou
*Updated as of 04/02/26.