Results 61 to 70 of about 6,287 (187)

A Comparative Analysis of Convolutional Neural Network (CNN): MobileNetV2 and Xception for Butterfly Species Classification

Jurnal Masyarakat Informatika
This study aims to compare the effectiveness and efficiency of two convolutional neural network architectures, MobileNetV2 and Xception, for automated butterfly species classification.
Mehta Pradnyatama, Christy Atika Sari, Eko Hari Rachmawanto, Hussain Md Mehedul Islam   +3 more
doaj   +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

Plant Leaf Disease Detection using MobileNetV2

ITM Web of Conferences
Plant diseases significantly hinder agricultural productivity worldwide, making early detection and accurate diagnosis essential to safeguard crop yields and food security. An efficient and lightweight deep learning method designed for classifying plant diseases using the PlantVillage dataset is presented.
Muthu Bala N, T. Kaushik Nayak, Jai Shankar Sai Pranav Palla, S. Gokul Nath, S. Jeswanth   +4 more
openaire   +1 more source

Comparative Analysis of CNN, MobileNetV2 and EffecientNetBO in Smart Farming System for Chili Leaf Disease Detection

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Chili leaf diseases greatly affect agricultural productivity, making early and accurate detection essential to support smart farming systems. This study presents a comparative analysis of three deep learning architectures—Convolutional Neural Network ...
Abdul Latief Arda, Syamsu Alam, Matalangi   +2 more
doaj   +1 more source

Enhancing Batik Classification Leveraging CNN Models and Transfer Learning

JOIV: International Journal on Informatics Visualization
Batik is a traditional art originating from Indonesia and recognized by UNESCO. Batik motifs vary depending on the region of origin. The diverse batik motifs reflect the rich cultural heritage and unique traditions owned by each region in Indonesia. From
Am Akbar Mabrur Perdana, Muhammad Fajar B, Abdul Muis Mappalotteng   +2 more
doaj   +1 more source

Lightweight image segmentation method for transmission line insulators based on MobileNetV2

河南理工大学学报. 自然科学版
ObjectivesTo address the issues of low accuracy in insulator segmentation in aerial images of transmission line inspections， limited computing power of edge devices， large model parameters， and insufficient real-time performance， a lightweight ...
Sun Shiming, Tang Yuanhe, Tai Tong, Wei Xueyun, Fang Wei   +4 more
doaj   +1 more source

CATARACT CLASSIFICATION USING MOBILENETV2-BASED MODEL

TRA VINH UNIVERSITY JOURNAL OF SCIENCE
Cataract occurs when the lens of the eyes, normally transparent, becomes cloudy. Clouded vision resulting from cataracts can posechallenges in activities such as reading, nighttime driving, and discerning facial expressions of acquaintances. Ensuring quality of vision now requires early detection of cataracts.
null Khanh-Duy Nguyen, null Thai-Son Nguyen, null Min-Te Sun   +2 more
openaire   +1 more source

Crack Detection in Building Through Deep Learning Feature Extraction and Machine Learning Approch

Journal of Applied Informatics and Computing
Buildings with cracks are extremely hazardous because they have the potential to cause destruction. Numerous occupants of structures such as houses and buildings are at risk when cracks appear.
Afandi Nur Aziz Thohari, Aisyatul Karima, Kuwat Santoso, Roselina Rahmawati   +3 more
doaj   +1 more source

Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Waste management remains a critical challenge for many countries, including Indonesia, which ranks as the world's second-largest contributor of waste.
Aulia Afifah, Endah Ratna Arumi, Maimunah Maimunah, Setiya Nugroho   +3 more
doaj   +1 more source

Efficient Pattern Recognition of Sundanese Script Variants Using CNN

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This research aims to apply pattern recognition technology, specifically through the Convolutional Neural Network (CNN) approach, in identifying and translating Sundanese script accurately.
Muhammad Husni Wahid, Erik Iman Heri Ujianto   +1 more
doaj   +1 more source