Identification method of corn leaf disease based on improved Mobilenetv3 model

C Bi, S Xu, N Hu, S Zhang, Z Zhu, H Yu - Agronomy, 2023 - mdpi.com
Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …

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 …

Review and analysis of deep neural network models for Alzheimer's disease classification using brain medical resonance imaging

S Pallawi, DK Singh - Cognitive Computation and Systems, 2023 - Wiley Online Library
Alzheimer's disease is a type of progressive neurological disorder which is irreversible and
the patient suffers from severe memory loss. This disease is the seventh largest cause of …

Diagnosis and detection of Alzheimer's disease using learning algorithm

GP Shukla, S Kumar, SK Pandey… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer's
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …

Exploring deep transfer learning ensemble for improved diagnosis and classification of alzheimer's disease

T Mahmud, K Barua, A Barua, S Das, N Basnin… - … Conference on Brain …, 2023 - Springer
Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that affects
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …

An improved seagull algorithm for numerical optimization problem

WH Bangyal, R Shakir, NU Rehman, A Ashraf… - … conference on swarm …, 2023 - Springer
Abstract In Artificial Intelligence, numerical optimization is an instantly rising research
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …

Deep ontology-based human locomotor activity recognition system via multisensory devices

M Javeed, N Al Mudawi, A Alazeb, SS Alotaibi… - IEEE …, 2023 - ieeexplore.ieee.org
Recognition of human locomotor activities is crucial for monitoring the motion patterns.
Current studies for human locomotor activities recognition focused on detecting basic motion …

Alzheimer's Disease Prediction Using Deep Feature Extraction and Optimization

F Mohammad, S Al Ahmadi - Mathematics, 2023 - mdpi.com
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that affects a
substantial proportion of the population. The accurate and timely prediction of AD carries …

A nonlinear convex decreasing weights golden eagle optimizer technique based on a global optimization strategy

J Deng, D Zhang, L Li, Q He - Applied Sciences, 2023 - mdpi.com
A novel approach called the nonlinear convex decreasing weights golden eagle
optimization technique based on a global optimization strategy is proposed to overcome the …

An Improved Fire Hawks Optimizer for Function Optimization

A Ashraf, A Anwaar, W Haider Bangyal… - … Conference on Swarm …, 2023 - Springer
Fire hawk Optimizer (FHO) is a relatively new intake in the family of evolutionary algorithms
for a distinct type of optimization problem. Initialization of the population plays a significant …