An efficient ensemble approach for Alzheimer's disease detection using an adaptive synthetic technique and deep learning

M Mujahid, A Rehman, T Alam, FS Alamri, SM Fati… - Diagnostics, 2023 - mdpi.com
Alzheimer's disease is an incurable neurological disorder that leads to a gradual decline in
cognitive abilities, but early detection can significantly mitigate symptoms. The automatic …

Accurate detection of Alzheimer's disease using lightweight deep learning model on MRI data

AAA El-Latif, SA Chelloug, M Alabdulhafith, M Hammad - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …

Green approach to the synthesis of α-aminophosphonate-tetrahydroisoquinoline hybrids and their anti-cholinesterase activity

J Marchán-García, E Buxaderas, DN Stratico… - Bioorganic …, 2024 - Elsevier
A series of 19 novel α-aminophosphonate-tetrahydroisoquinoline hybrids were synthesized
through a cross dehydrogenative coupling reaction between N-aryl-tetrahydroisoquinolines …

Generative LLMs in Organic Chemistry: Transforming Esterification Reactions into Natural Language Procedures

M Vaškevičius, J Kapočiūtė-Dzikienė, L Šlepikas - Applied Sciences, 2023 - mdpi.com
This paper presents a novel approach to predicting esterification procedures in organic
chemistry by employing generative large language models (LLMs) to interpret and translate …

[HTML][HTML] A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

NS Babaiha, H Elsayed, B Zhang, A Kaladharan… - Artificial Intelligence in …, 2023 - Elsevier
Background Biomedical knowledge graphs (KG) have become crucial for describing
biological findings in a structured manner. To keep up with the constantly changing flow of …

Effect of Inhibiting Butyrylcholinesterase Activity Using Fractionated Coffee Extracts Digested In Vitro in Gastrointestinal Tract: Docking Simulation and Calorimetric …

J Grzelczyk, D Szwajgier, E Baranowska-Wójcik… - Nutrients, 2023 - mdpi.com
Butyrylcholinesterase (BChE) is a major enzyme from the alpha-glycoprotein family that
catalyzes the hydrolysis of neurotransmitter acetylcholine (ACh), lowering the concentration …

Robust benchmark for propagandist text detection and mining high-quality data

PN Ahmad, Y Liu, G Ali, MA Wani, M ElAffendi - Mathematics, 2023 - mdpi.com
Social media, fake news, and different propaganda strategies have all contributed to an
increase in misinformation online during the past ten years. As a result of the scarcity of high …

Revolutionizing Alzheimer's Disease Prediction using InceptionV3 in Deep Learning

R Jansi, N Gowtham, S Ramachandran… - 2023 7th …, 2023 - ieeexplore.ieee.org
Since Alzheimer's disease is a neurological condition that affects millions of people
worldwide, early detection is vital for enabling successful treatment. Recent advances in …

A Novel Approach to Memory Disorder Diagnose Using Deep Learning Integration and Adaptive Artificial Approaches

V Bhardwaj, S Pandey - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Alzheimer's illness is an untreatable brain condition that gradually erodes cognitive function,
early identification can greatly lessen effects. In light of the lack of skilled doctors, the …

Role of NLP and Deep Learning for Multimedia Data Processing and Security

MA Wani, S Kaleem, AA Abd El-Latif - Recent Advancements in …, 2023 - igi-global.com
This book chapter is a vital guide for understanding today's complex landscape of booming
multimedia data and growing cybersecurity risks. It focuses on the transformative roles of …