The Adversarial Robust and Generalizable Stereo Matching for Infrared Binocular Based on Deep Learning by Bowen Liu, Jiawei Ji, Cancan Tao, Jujiu Li, Yingxun Wang

“…Despite the considerable success of deep learning methods in stereo matching for binocular images, the generalizability and robustness of these algorithms, particularly under challenging conditions such as occlusions or degraded infrared textures, remain uncertain. …”
Get full text

Neuromorphic principles for machine olfaction by Nik Dennler, Aaron True, André van Schaik, Michael Schmuker

“…Further, we critically review and discuss the literature on neuromorphic olfaction; particularly focusing on neuromorphic principles such as event generation algorithms, information encoding mechanisms, event processing schemes (spiking neural networks), and learning. …”
Get full text

Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum by Metin Yilmaz, Eyup Cinar, Ahmet Yazici

“…Traditional Battery Management System (BMS) algorithms can be inadequate for State of Charge (SoC) estimation due to incorrect measurements and unobservable battery characteristics. …”
Get full text

A comprehensive image dataset for carambola leaf and fruit disease classification and quality assessmentMendeley Data by S.M. Abdullah Al Muhib, Rejowan Arifin Nayeem, Noman Mezi, Nafiz Ahmed Emon

“…This dataset supports sustainable agriculture by enabling early disease identification, reduced chemical usage, and improved crop management while minimizing economic losses for farmers. It serves as a valuable resource for the future research in machine learning based plant health monitoring and quality assessment.…”
Get full text

An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment by Julian R. Rice, G. Andrew Fricker, Jonathan Ventura

“…Cataloging and classifying trees in the urban environment is a crucial step in urban and environmental planning; however, manual collection and maintenance of this data is expensive and time-consuming. Although algorithmic approaches that rely on remote sensing data have been developed for tree detection in forests, they generally struggle in the more varied urban environment. …”
Get full text

GOAL ORIENTED SMART PORTFOLIO OPTIMIZATION by Ayush Deshpande, Rohan Gore, Sankirti Shiravale, Shubham Chougule, Samarth Bahirgonde

“…Portfolio optimization is a critical aspect of investment strategy, which aims to maximize returns while minimizing risk. This paper presents a comprehensive framework for portfolio optimization, encompassing risk assessment, data preprocessing, and optimization methodologies over a dataset of the Nifty500 index. …”
Get full text

Multi-Module Combination for Underwater Image Enhancement by Zhe Jiang, Huanhuan Wang, Gang He, Jiawang Chen, Wei Feng, Gaosheng Luo

“…Effective defogging is then performed using a rank-one prior matrix-based approach, while a reference curve transformation adaptively enhances the contrast. …”
Get full text

Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

“…Recently, computer vision algorithms have shown promise in image processing tasks; however, creating an automated model for painting authentication remains a challenge in art preservation and history. …”
Get full text

EFCNet: Expert Feature-Based Convolutional Neural Network for SAR Ship Detection by Zheng Chen, Yuxiang Zhang, Jing Bai, Biao Hou

“…To perform ship detection in SAR images, existing algorithms commonly utilize convolutional neural network (CNN). …”
Get full text

Prediction-Based Tip-Over Prevention for Planetary Exploration Rovers by Siddhant Shete, Raúl Domínguez, Ravisankar Selvaraju, Mariela De Lucas Álvarez, Frank Kirchner

“…The proposed system employs linear accelerations and angular velocities measured by the accelerometer and the gyroscope of the Inertial Measurements Unit (IMU) to monitor the rover’s dynamic behavior and stability while navigating the environment. By leveraging deep learning algorithms, the system evaluates predictions and true measurements in real time to identify potential tip-overs. …”
Get full text

Discontinuous surface extraction method based on 3D point cloud by Linsong Zhu, Shuangquan Li, Tianjiao Li, Tianjiao Li, Xuewu Sun, Fuqiang Ren, Fuqiang Ren

“…The methodology integrates K-nearest neighbor (KNN) search and random sample consensus (RANSAC) algorithms to compute normal vectors, followed by mean shift clustering for preliminary grouping and Euclidean clustering for discontinuity orientation. …”
Get full text

Mammography In Breast Cancer Screening – Current Knowledge, Challenges, The Impact of Artificial Intelligence, And Effectiveness With A Focus On Poland by Maciej Pachana, Marcin Piersiak, Hubert Sawczuk, Anna Tomasiewicz, Jan Zabierowski, Piotr Kukuła, Julia Marschollek, Maciej Ziomek

“…Overall, the findings underscore the fundamental role of mammography in breast cancer detection, with AI and other technological advancements significantly enhancing diagnostic accuracy while identifying areas for further improvement. …”
Get full text

A Lightweight Neural Network for Cell Segmentation Based on Attention Enhancement by Shuang Xia, Qian Sun, Yiheng Zhou, Zhaoyuxuan Wang, Chaoxing You, Kainan Ma, Ming Liu

“…AttE-Unet enhances the network’s feature extraction capabilities through an attention mechanism and combines the strengths of deep learning with traditional image filtering algorithms, while substantially reducing computational and storage demands. …”
Get full text

FLSH: A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection by Hassan Jalil Hadi, Alina Khalid, Faisal Bashir Hussain, Naveed Ahmad, Mohammed Ali Alshara

“…To address this, various techniques and algorithms have been employed to improve malware detection and classification. …”
Get full text

Prediction of land cover changes in an Urban City of Bangladesh using artificial neural network-based cellular automata by Tania Yeasmin, Sourav Karmaker, Md Shafiqul Islam, Irteja Hasan, Saifur Rahman, Mahmudul Hasan

“…Supervised classification algorithms and cellular automata model based on Artificial Neural Networks (ANN) were used to prepare LULC maps and future simulations. …”
Get full text

Optimization Design of Space Camera Enclosure Based on Bionics by Hongyu Li, Fu Li, Zhihua Zhao, Janfeng Yang, Juan Lv

“…The results indicate that the biomimicry-inspired space camera enclosure structure, modeled after the tendons of <i>Victoria lindl</i>, can reduce weight by 36.9% compared to traditional designs, while maintaining high stiffness and fundamental frequency. …”
Get full text

Order picking dataset from a warehouse of a footwear manufacturing companyMendeley Data by Rodrigo Furlan de Assis, William de Paula Ferreira, Mustapha Ouhimmou

“…Anonymization and randomization techniques were applied while retaining realistic operational patterns to preserve confidentiality. …”
Get full text

Advanced fault detection in photovoltaic panels using enhanced U-Net architectures by Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit

“…Extensive experiments demonstrate that the proposed method significantly outperforms all benchmarked algorithms across key segmentation metrics, including standard U-Net, U-Net with ASPP, and DeepLabV3+. …”
Get full text

MTGNet: Multi-Agent End-to-End Motion Trajectory Prediction with Multimodal Panoramic Dynamic Graph by Yinfei Dai, Yuantong Zhang, Xiuzhen Zhou, Qi Wang, Xiao Song, Shaoqiang Wang

“…With the rapid development of autonomous driving technology, multi-agent trajectory prediction has become the core foundation of autonomous driving algorithms. Efficiently and accurately predicting the future trajectories of multiple agents is key to evaluating the reliability and safety of autonomous driving vehicles. …”
Get full text

Microcontroller-Based Platform for Lithium-Ion Battery Charging and Experimental Evaluation of Charging Strategies by Laurentiu Marius Baicu, Mihaela Andrei, Bogdan Dumitrascu

“…A current sensor module ensures continuous monitoring, while an LCD interface provides real-time feedback on charging parameters. …”
Get full text