Results 31 to 40 of about 12,736 (188)

Detection of Pneumonia with a Novel CNN-based Approach

Sakarya University Journal of Computer and Information Sciences, 2021
Pneumonia is a seasonal infectious lung tissue inflammatory disease. According to the World Health Organization (WHO), early diagnosis of the disease reduces the risk of its transmission and death.
Ebru Erdem, Tolga Aydin
doaj   +1 more source

PROTOTIPE APLIKASI PENGENALAN WAYANG KULIT MENGGUNAKAN CNN BERBASIS VGG16

Jurnal Informatika Upgris, 2021
Indonesia has various types of culture and traditional arts. In this era of globalization, local culture and arts have begun to be eroded by the times. One of the diverse Indonesian culture is wayang kulit. Where the shadow puppets in Indonesia vary and vary from region to region.
dwi puji prabowo, D.I.I Ullumudin, R.A. Pramunendar   +2 more
openaire   +2 more sources

Input Sparsity‐Aware Computing‐In‐Memory with Bidirectional Conversion‐Skippable Analog‐to‐Digital Converter

Advanced Intelligent Systems, EarlyView.
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song, Yonguk Sim, Doo Seok Jeong   +2 more
wiley   +1 more source

Hybrid Deep Learning Model for Skin Cancer Classification [PDF]

E3S Web of Conferences
Skin cancer represents a significant public health concern worldwide, with melanoma accounting for its most lethal form. Timely identification and precise categorization of skin lesions play pivotal roles in enhancing treatment efficacy and fostering ...
Suneetha Irala
doaj   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

Face Recognition-Based Room Access Security System Prototype using A Deep Learning Algorithm

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character formations. This paper explores the potential of a machine learning-based digital learning tool to write Mandarin characters.
Immanuel Morries Pohan, Suci Dwijayanti, Bhakti Yudho Suprapto, Hera Hikmarika, Hermawati Hermawati   +4 more
doaj   +1 more source

Deep Learning for Pretreatment Imaging‐Based Tumor and Nodal Classification in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Network Meta‐Analysis

Head &Neck, EarlyView.
ABSTRACT Background Accurate pretreatment assessment of the extent of tumor invasion and status of cervical lymph node metastasis is essential for staging and treatment planning in HNSCC. Deep learning (DL) shows promise but is limited by methodological heterogeneity. Methods We conducted a systematic review and network meta‐analysis (PRISMA). Studies (
Jannik Ketschau, Alex Grabenhorst, Hannes Singer, Johannes Brandt, Helena Kram, Nils Krautkremer, Maximilian F. Miragall, Katharina Pippich, Jonathan Mohr, Klaus‐Dietrich Wolff, Lucas M. Ritschl   +10 more
wiley   +1 more source

Detection of Sugarcane Leaf Disease Using Pre-Trained Feature Extraction and SVM Method

Journal of Applied Informatics and Computing
Sugarcane (Saccharum officinarum) is an important commodity in the sugar industry, but it is vulnerable to leaf diseases such as Red Rot, Rust, Yellow Leaf, and Mosaic, which can significantly reduce the quality and quantity of yields.
Mufidatul Izza, Moch. Lutfi
doaj   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source

Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models

Информатика и автоматизация
Person re-identification (Re-ID) is crucial in intelligent surveillance, requiring precise identification of individuals across multiple camera viewpoints.
Mossaab Idrissi Alami, Abderrahmane Ez-zahout, Fouzia Omary   +2 more
doaj   +1 more source