Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization by Castaka Agus Sugianto, Dini Rohmayani, Jhoanne Fredricka, Mohamed Doheir

“…Early and accurate disease detection is essential for preventing severe crop losses. …”
Get full text

Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

“…Our research proposes a new framework instigated and developed to improve crop disease detection and classification by multifaceted analysis. …”
Get full text

Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

“…The CNN-BiLSTM hybrid model emerged as optimal for fishing behavior classification, achieving 89.98% accuracy and an 87.72% F1 score through synergistic spatiotemporal feature extraction. Spatial analysis revealed significant policy-driven reductions in fishing intensity during the moratorium (May–August), with hotspot areas suppressed to sporadic coastal distributions. …”
Get full text

Explainable light-weight deep learning pipeline for improved drought stress identification by Aswini Kumar Patra, Aswini Kumar Patra, Lingaraj Sahoo

“…By revealing the model’s focus areas within the images, it enhances interpretability and fosters trust in the model’s decision-making process.Results and discussionOur proposed framework achieves superior performance, particularly with the DenseNet121 pre-trained network, reaching a precision of 97% to identify the stressed class with an overall accuracy of 91%. Comparative analysis of existing state-of-the-art object detection algorithms reveals the superiority of our approach in achieving higher precision and accuracy. …”
Get full text

Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…The key innovation lies in integrating these non-linear regression models with robust data preprocessing steps, including dimensionality reduction via Principal Component Analysis (PCA), categorical feature encoding through Leave-One-Out (LOO), and outlier detection using Isolation Forest. …”
Get full text

A Hybrid Data-Driven Method for Main Circuit Gound Faults Diagnosis in Electrical Traction Drive Systems by Xinyao Hou, Juntong Liu, Jinxin Zhang, Qiang Ni

“…First, the voltage signals related to the fault are selected according to the mechanism analysis of the MCGF, and then the initial feature variables are constructed according to these voltage signals. …”
Get full text

An Extreme Radio Fluctuation of Pulsar B1929+10 by Zhengli Wang, Shunshun Cao, Jiguang Lu, Yulan Liu, Xun Shi, Jinchen Jiang, Enwei Liang, Weiyang Wang, Heng Xu, Renxin Xu

“…Frequency-dependent analysis of DM indicates an extremely weak chromatic DM feature, which does not notably affect the radiative behavior detected. …”
Get full text

Metabolomic datasets of an apple progeny carrying resistance quantitative trait loci to apple scab before or after inoculation of the pathogen Venturia inaequalisentrepot.recherche... by Romane Lapous, Florent Magot, Romain Larbat, Caroline Denancé, Christian Cattanéo, Hélène Muranty, Charles-Eric Durel, Julie Ferreira de Carvalho

“…Metabolic content was extracted in aqueous methanol before performing an untargeted metabolomic analysis using an Orbitrap IDXTM mass spectrometer, allowing high-resolution mass spectrometry (HRMS) detection. …”
Get full text

NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

“…The model performs progressive, stagewise noise suppression at multiple feature depths, dynamically adjusting normalization based on localized noise estimates. …”
Get full text

Enhancing Upper Limb Stroke Rehabilitation with Electromyography-Monitored Virtual Reality–Based Games by Zunaidi Ibrahim, Basri Noor Cahyadi, Azlan Aziz, Ahmad Shamil

“…We used peak-to-peak electromyography signal detection with a 20% threshold and three distinct feature extractions to represent muscle contractions during gameplay. …”
Get full text

Enhancing Photovoltaic Panel Segmentation in Remote Sensing Imagery: A Comparative Study of Attention-Integrated UNet Models by M. Q. Alkhatib, M. Al-Saad, N. Aburaed, M. S. Zitouni, S. Almansoori, H. Al-Ahmad

“…Given the critical role of solar energy in achieving global sustainability, accurate PV panel detection is essential for effective energy management. …”
Get full text

Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…We design an iterative algorithm to update the parameters alternately and test it over benchmark data sets of abnormal behavior detection in video, Amazon product reviews sentiment analysis, etc.…”
Get full text

Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data by Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem

“…ABSTRACT Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. …”
Get full text

Enhanced Hyperspectral Forest Soil Organic Matter Prediction Using a Black-Winged Kite Algorithm-Optimized Convolutional Neural Network and Support Vector Machine by Yun Deng, Lifan Xiao, Yuanyuan Shi

“…Through Pearson heatmap analysis and modeling accuracy comparison, the SG-1DR preprocessing combination was found to effectively highlight spectral data features. …”
Get full text

Purification and expression of a novel bacteriocin, JUQZ-1, against Pseudomonas syringae pv. Actinidiae (PSA), secreted by Brevibacillus laterosporus Wq-1, isolated from the rhizos... by Yang Shuai, Yi Langbo, Yang Yi, Chen Danni, Peng Qingzhong

“…Due to the drug resistance feature of PSA, biological control is currently the most promising method. …”
Get full text

Comparative morphological characteristics of helicobacter pylori and autoimmune gastritis by N. V. Pachuashvili, D. P. Nagornaya, A. S. Tertychnyy

“…The main differential diagnostic feature in our study was the detection of H. pylori, as well as the localization of the lesion in the stomach body characteristic of autoimmune gastritis and in the antrum in helicobacter gastritis. …”
Get full text

Activity dependent degeneration explains hub vulnerability in Alzheimer's disease. by Willem de Haan, Katherine Mott, Elisabeth C W van Straaten, Philip Scheltens, Cornelis J Stam

“…The insight that neuronal activity might play a causal role in Alzheimer's disease can have implications for early detection and interventional strategies.…”
Get full text

Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms by Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan

“…Traditional methods, relying on manual detection, are inefficient and fail to meet the demands of modern production and quality control. …”
Get full text

Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures by Weijie Zhang, Veronika Belcheva, Tatiana Ermakova

“…Interpretability analysis shows that CNNs focus on fine-grained lesion details, while ViTs exhibit broader but less localized attention. …”
Get full text

Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel by Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li

“…Our intelligent monitoring approach involves three key steps: train maintenance personnel identification, tracking of maintenance activities to generate movement trajectories, and analysis of movement patterns to detect anomalous behavior. …”
Get full text