[HTML][HTML] A federated learning model based on hardware acceleration for the early detection of alzheimer's disease

K Khalil, MMR Khan Mamun, A Sherif, MS Elsersy… - Sensors, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive illness with a slow start that lasts many years; the
disease's consequences are devastating to the patient and the patient's family. If detected …

[HTML][HTML] Development and Validation of Machine Learning Algorithms for Prediction of Colorectal Polyps Based on Electronic Health Records

Q Ba, X Yuan, Y Wang, N Shen, H **e, Y Lu - Biomedicines, 2024 - mdpi.com
Background: Colorectal Polyps are the main source of precancerous lesions in colorectal
cancer. To increase the early diagnosis of tumors and improve their screening, we aimed to …

Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists' Visual Estimates

T Kiyuna, E Cosatto, KC Hatanaka, T Yokose, K Tsuta… - Diagnostics, 2024 - mdpi.com
The development of next-generation sequencing (NGS) has enabled the discovery of cancer-
specific driver gene alternations, making precision medicine possible. However, accurate …

Design and Development of an Integrated Healthcare Platform Using Deep Convolutional Neural Networks (DCNNs)

A Ghani, A Bommalata - Innovations in Computer Vision and Data …, 2024 - Springer
The global burden of chest diseases, particularly tuberculosis (TB), continues to be a
significant concern, contributing to a substantial number of fatalities worldwide. Early …

Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks

L Yu, B Guo, T Zhi, L Bai - Electronics, 2023 - mdpi.com
FPGAs are gaining favor among researchers in fields including artificial intelligence and big
data due to their configurability and high level of parallelism. As the packing methods …

Fundamentals of Low-Power Neuromorphic Circuit Design with Spiking Neural Networks (SNNs)

A Ghani - Innovations in Computer Vision and Data Classification …, 2024 - Springer
Spiking neural networks (SNNs) have existed since the late twentieth century and continue
to undergo development. Recent years have seen a remarkable interest in such biologically …

A System-Level Approach to Sustainable Low Power Sensing: Meeting United Nations Sustainable Development Goals (SDGs)

A Ghani - Innovations in Computer Vision and Data Classification …, 2024 - Springer
Environmental sensing has gained significant importance, particularly in light of excessive
carbon emissions from industrial processes. However, deploying remote wireless sensors in …

Advancements in Digital Health Diagnostics: Mathematical Modelling in the Detection of Cancer Cells

SQ Khan, SQ Ain, A Ghani - Innovations in Computer Vision and Data …, 2024 - Springer
The increasing understanding of cancer cells and its mathematical models has significantly
advanced cancer research. Considerable progress has been made in theory, clinical …

Computer Vision-Based Human Activity Detection for Intensive Care Patients: A Case Study Based on Region of Interest (ROI)

R Tahir, SQ Khan, A Ghani - Innovations in Computer Vision and Data …, 2024 - Springer
Human activity detection (HAD) poses a significant challenge in computer vision, offering
diverse applications in human-computer interactions (HCIs), ambient assisted living and …

[Књига][B] Innovations in Computer Vision and Data Classification

A Ghani - 2024 - Springer
Welcome to Innovations in Computer Vision and Data Classification. This book is a
comprehensive exploration of cutting-edge technologies and methodologies in the fields of …