Results 61 to 70 of about 12,701 (190)

Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review

Engineering Reports, Volume 8, Issue 4, April 2026.
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam, Morium Akter, Mohammad Shorif Uddin, Md. Ataur Rahman, Md. Tarek Habib   +4 more
wiley   +1 more source

A Hybrid YOLO–SE Attention Based Deep Learning Framework for Robust Weapon Detection in Surveillance Imagery

Engineering Reports, Volume 8, Issue 4, April 2026.
This study presents a hybrid real‐time weapon detection system combining lightweight image classification (NASNetMobile) with precise object localization (YOLOv8n), optimizing performance and computational efficiency. The proposed pipeline enables scalable, accurate threat detection in surveillance systems, advancing security in resource‐constrained ...
Ashiful Nahar Bithi, Mridul Ghosh, Mrinal Kanti Saha Joy, Emtu Rani Paul, Md. Ferdous Bin Hafiz, Niaz Ashraf Khan, Shohag Barman, Md Mehedi Hasan, Hira Lal Gope, Md Masum Billah   +9 more
wiley   +1 more source

Multi-label Bird Species Classification Using Transfer Learning Network

Archives of Acoustics
Bird sounds collected in the field usually include multiple birds of different species vocalizing at the same time, and the overlapping bird sounds pose challenges for species recognition. Extracting effective acoustic features is critical to multi-label
Xue HAN, Jianxin PENG
doaj   +1 more source

Comparison of deep learning models in automatic classification of coffee bean species [PDF]

PeerJ Computer Science
As one of the most widely consumed beverages worldwide, coffee is characterized by its diverse flavor profiles and complex production processes. In this study, deep learning-based image processing techniques are employed for the automatic classification ...
Adem Korkmaz, Tarık Talan, Selahattin Koşunalp, Teodor Iliev   +3 more
doaj   +2 more sources

Evaluating Transfer Learning Models for Vehicle Scene Classification Under Adverse Weather Classification Conditions

Engineering Reports, Volume 8, Issue 4, April 2026.
This work presents transfer learning models for robust vehicle identification across varying weather conditions. By leveraging deep learning techniques, the study enhances recognition accuracy, ensuring consistent performance in adverse environments. The findings contribute to intelligent transportation systems and automated surveillance applications ...
Agha Asim Husain, Tanmoy Maity, Gunjan Gupta, Mritunjay Rai, R. K. Yadav   +4 more
wiley   +1 more source

Deep learning-based dual optimization framework for accurate thyroid disease diagnosis using CNN architectures

Mehran University Research Journal of Engineering and Technology
Thyroid diseases, including hypothyroidism, hyperthyroidism, thyroid nodules, thyroiditis, and thyroid cancer, are among the most prevalent endocrine disorders, posing significant health risks, which need to be diagnosed and treated promptly. Traditional
Zeeshan Ali Haider, Nasser A Alsadhan, Fida Muhammad Khan, Waleed Al-Azzawi, Inam Ullah Khan, Inam Ullah   +5 more
doaj   +1 more source

InceptionV3-Based Blood Cell Classification for Cancer Detection

Journal of Computer Technology and Applied Mathematics
Blood cell morphological analysis plays a vital role in clinical diagnosis, especially in the early detection of leukemia, anemia and other blood system diseases. Conventional image processing techniques are difficult to deal with complex situations such as cell overlap and uneven staining, and basic machine learning methods also have obvious ...
He, Runhai, Zhou, Quanhua
openaire   +2 more sources

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, Volume 14, Issue 4, Page 2040-2050, April 2026.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

PLDC‐Net: A Domain‐Specific Base Model for Plant Leaf Disease Classification Domain Adaptation Tasks

Plant Direct, Volume 10, Issue 4, April 2026.
ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects that these diseases have on the yields, as slow response time will lead to the spread of diseases and further loss.
David J. Richter, Kyungbaek Kim
wiley   +1 more source

iSEC: An Optimized Deep Learning Model for Image Classification on Edge Computing

IEEE Access, 2020
Optimization strategies in deep learning models require different techniques for different use cases. Besides, various phases of the model deployment life-cycle specify possible and particular optimization strategies.
Endah Kristiani, Chao-Tung Yang, Chin-Yin Huang   +2 more
doaj   +1 more source