Results 61 to 70 of about 17,494 (194)

IMAGE CAPTIONING USING TRANSFORMER WITH IMAGE FEATURE EXTRACTION BY XCEPTION AND INCEPTION-V3

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Image captioning is a task in image processing that involves creating text descriptions that can describe the image content. The formation of the image captioning system model is influenced by image interpretation related to the given image caption ...
Jasman Pardede, Fandi
doaj   +1 more source

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

Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms

Diagnostics
Background/Objectives: Early and accurate diagnosis of skin cancer improves survival rates; however, dermatologists often struggle with lesion detection due to similar pigmentation.
Areej Alotaibi, Duaa AlSaeed
doaj   +1 more source

Real-time Convolutional Neural Networks for Emotion and Gender Classification

, 2017
In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs. We validate our models by creating a real-time vision system which accomplishes the tasks of face detection, gender ...
Arriaga, Octavio, Plöger, Paul, Valdenegro-Toro, Matias   +2 more
core  

Enhanced skin cancer classification via Xception model

International Journal of Advances in Applied Sciences
Skin cancer is a prevalent and deadly cancer, and early detection is crucial for improving treatment success. Intelligent technologies are currently being used to classify skin lesions. The fundamental goal of this experimental research is to investigate biomedical skin cancer datasets to develop an effective approach for determining whether a cancer ...
Qurban Ali Memon, Namya Musthafa, Muhammad Masud, Ghaya Al Ameri   +3 more
openaire   +1 more source

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

Mobile3ViT: An Improved Hybrid CNN‐Visual Transformer Model for Automatic Gastrointestinal Image Recognition

Natural Sciences, Volume 6, Issue 2, April 2026.
An overview of the steps in the proposed Mobile3ViT model, an improved hybrid CNN‐visual transformer model, for automatic gastrointestinal image recognition. ABSTRACT A wireless capsule endoscope (WCE) is currently the first‐line examination to investigate digestive tract diseases.
Bo Ye, Gan Zhang, Wei Zha, Jianglin Zhang, Guangzheng Gao, Jun Yang, Quanxing Ye, Shuting Hu, Lalit Garg, Amit Krishna Dwivedi, Sheng Liu   +10 more
wiley   +1 more source

DPXception: a lightweight CNN for image-based date palm species classification

Frontiers in Plant Science
IntroductionDate palm species classification is important for various agricultural and economic purposes, but it is challenging to perform based on images of date palms alone.
Mejdl Safran, Waleed Alrajhi, Sultan Alfarhood   +2 more
doaj   +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

Enhancing land use and land cover classification with deep learning-based satellite imagery segmentation

International Journal of Applied Earth Observations and Geoinformation
Semantic segmentation of satellite imagery plays a vital role in applications such as sustainable development, agriculture, forestry, urban planning, and climate change monitoring.
Tsion Fekadu Deressu, Amanuel Kumsa Bojer, Taye Girma Debelee, Worku Gachena Negera, Saralees Nadarajah, Kena Wendimu Gebissa   +5 more
doaj   +1 more source