Robotic-Assisted Systems in Gynecology: A Systematic Review

G Singh, M Singh, H Kataria, N Dixit… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Gynecological surgery involves a range of surgical procedures addressing organs within the
female pelvic region, such as the uterus, ovaries, cervix, fallopian tubes, vagina, and vulva …

Unveiling the epilepsy enigma: an agile and optimal machine learning approach for detecting inter-ictal state from electroencephalogram signals

S Kaushik, M Balachandra, D Olivia, Z Khan - International Journal of …, 2024 - Springer
Epilepsy is a chronic neurological disorder characterized by the occurrence of paroxysmal
recurrent seizures, which are caused by abnormal electrical activity in the brain. Seizures …

Investigating brain activity patterns during learning tasks through EEG and machine learning analysis

R Cho, M Zaman, KT Cho, J Hwang - International Journal of Information …, 2024 - Springer
The objective of this study was to analyze brain activity during different STEM (Science,
Technology, Engineering, and Mathematics) activities in order to better understand brain …

Optimizing Emotion Classification from EEG Signals: A Comparative Analysis of Optimization Techniques on the DEAP Dataset

J Broker, K Shah, H Shah, A Jawale… - … on Computing for …, 2024 - ieeexplore.ieee.org
Electroencephalogram (EEG) signals for emotion classification have gained significant
attention in recent times due to its implicit applications in varied fields, including human …

An Enhanced Machine Learning-Based Approach for Analysis and Prediction of Student Performance in Classroom Learning

ASG Banu, S Tanveer, N Srivani… - Nanotechnology …, 2024 - nano-ntp.com
Many students at higher education institutions have to work hard to finish different courses
since there is no specialized help supplied to students who require particular attention in the …