[PDF][PDF] Deep Learning-Based Micro Facial Expression Recognition Using an Adaptive Tiefes FCNN Model.

BK Durga, V Rajesh, S Jagannadham… - Traitement du …, 2023 - researchgate.net
Accepted: 16 May 2023 The scientific community and media have increasingly recognized
the significance of microexpressions as indicators for detecting deception, as they reveal …

Speech enhancement with noise estimation and filtration using deep learning models

S Kantamaneni, A Charles, TR Babu - Theoretical Computer Science, 2023 - Elsevier
Speech enhancement helps in eliminating the environmental noises from the
communication signals. The main intention of the augmentation system is to develop the …

Cloud-Based LeNet-5 CNN for MRI Brain Tumor Diagnosis and Recognition.

G Srinivasarao, V Rajesh, K Saikumar… - Traitement du …, 2023 - search.ebscohost.com
Early and accurate diagnosis of brain tumors is crucial in the medical field, as undetected or
misdiagnosed tumors can lead to sudden death. Traditional models for diagnosing brain …

IoT Empowered GNSS Tracking in Real-time via Cloud Infrastructure

MN Vadlamudi, N Jayanthi, G Swetha… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
The rapid progress of technology represented by the IoT has made it possible to connect
even the most intricate electronic devices to a network. Kee** track of unusual and …

Records of patient health data and medical information monitoring using IOT

K Sarada, K Saikumar, B Dudi… - … for Innovation in …, 2023 - ieeexplore.ieee.org
Medical diagnosis and its records sharing are essential in the medical field. The IoT has
offered secure data transfer in any technology platform. According to WHO, around 10 billion …

Exploratory review of deep learning techniques for ecg signals analysis

MN Vadlamudi, K Saikumar, S Kota… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Deep learning technology has performed an advanced ECG signal-based heart monitor
data. In this research prior heart attacks detection model's analysis has been performed …

A study and recognition of Alzheimer's disease using machine learning

SKM Basha, G Ashalatha, SDV Prasad… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Nowadays, Alzheimer's disease is one of the most severe threats to people of all ages and
socioeconomic backgrounds. Their everyday activities may measure this disorder, and how …

Estimate and prevention of malicious URL using logistic regression ML techniques

N Yamsani, K Sarada, MA Ahmed… - AIP Conference …, 2024 - pubs.aip.org
URLs that are easily recognizable by humans are used to identify the billions of websites
and servers that make up the modern internet. Malicious URLs may be used by the …