Unsupervised Class Generation to Expand Semantic Segmentation Datasets by Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel

“…Our approach aims to improve the performance of unsupervised domain adaptation methods by introducing novel samples into the training data without modifications to the underlying algorithms. …”
Get full text

Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The proposed method ultimately provides a computationally efficient and robust intelligent monitoring solution for agricultural mechanization, facilitating the transition from conventional agricultural practices toward sustainable, low-carbon production paradigms through algorithmic optimization.…”
Get full text

Low Complexity Optimized AOR Method for Massive MIMO Signal Detection by Muhammad Nauman Irshad, Muhamamd Muzamil Aslam, Rardchawadee Silapunt

“…These significant modifications amplify the efficiency of the OAOR method. …”
Get full text

Grid Forming Inverter With Increased Short-Circuit Contribution to Address Inverter-Based Microgrid Protection Challenges by Maximiliano Ferrari, Leon M. Tolbert, Emilio C. Piesciorovsky

Get full text

Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application by Haibo Peng, Tao Liu, Pengcheng Li, Fang Yang, Xing Luo, Xiaoqing Sun, Dong Gao, Fengyu Lin, Lecheng Jia, Ningyue Xu, Huigang Tan, Xi Wang, Tao Ren

“…In a prospective clinical study of online ART, the target volume modification time (MTime) was 3–5 min for dRT and 2–4 min for pRT, and the main duration of CTV1 modification was approximately 2 min. …”
Get full text

Effects of mosquito-proofing storm drains on adult and larval mosquito abundance: Protocol of the IDAlErt storm drAin randomiSed controlled trial (IDEAS) by Marina Treskova, Tomás Montalvo, Joacim Rocklöv, Charles Hatfield, Frederic Bartumeus, Shouro Dasgupta, João Encarnação, Rachel Lowe, Jan C. Semenza, Pascale Stiles, Jordi Noya, Andrea Valsecchi, Till Bärnighausen, John R.B. Palmer, Aditi Bunker

Get full text

Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…This modification increases the model’s parameter count without adding to the computational cost in terms of floating-point operations. …”
Get full text

Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
Get full text

University proceedings. Volga region. Technical sciences by Yu.V. Dubenko, E.E. Dyshkant, V.A. Demidov

“…As a result, a method for synthesizing and automatically adapting the architecture of a hierarchical MAS was developed, characterized by automatic modification of a set of agent connections during the operation of the MAS (as well as basic rules that determine the conditions for the emergence of connections), the ability to determine the optimal parameters of the MAS for a specific environment using a genetic algorithm, as well as the ability to model several types of MAS architectures. …”

Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…Although the improvements may not be large in all four areas, the proposed solution is conceptually simple and requires no modifications to the network architecture, training procedure, or dataset. …”
Get full text

Tailored 3D Lattice Microstructures for Enhanced Functionality in Blood‐Gas Exchange by Kai P. Barbian, Teresa Lemainque, Ina Grunden, Roman Iwa, Bettina Wiegmann, John Linkhorst, Matthias Wessling, Jan Heyer, Ulrich Steinseifer, Michael Neidlin, Sebastian V. Jansen

“…Triply periodic minimal surface (TPMS) lattice structures are proposed to provide increased mass transfer efficiency and local adaptability introducing heterogeneous properties. However, the adaptation of these structures for blood flow, as in ECLS, is challenging as a hemocompatible flow distribution must be established. …”
Get full text

Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data by Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodsinskyi

“…Fuzzy clustering allows the system to effectively operate with ambiguous situations under conditions of uncertainty. Computer simulations have shown that adapting the fuzzy membership function to the type of input data, increasing the number of latent variables, and selecting the learning rate of the neural network can improve the quality of the reconstruction of the input signal.…”
Get full text

Enhancing dynamic resource management in decentralized federated learning for collaborative edge Internet of Things by Asma Aldrees, Ashit Kumar Dutta, Ahmed Emara, Sana Shahab, Zaffar Ahmed Shaikh, Yousef Ibrahim Daradkeh, Mohd Anjum

Get full text

Image Inpainting and Digital Camouflage: Methods, Applications, and Perspectives for Remote Sensing by Kinga Karwowska, Damian Wierzbicki, Michal Kedzierski

“…To broaden the understanding of these methods, this study also reviews techniques developed in the field of computer science, which have the potential to be adapted for remote sensing applications. …”
Get full text

An Industrial Add-On for Precision Die-Centering in Catheter Extrusion Using Visual Servoing by Han Chang Lee, Byeong Hak Kim, Jong Pil Yun, Gyu Man Kim, Woojin Kim, Hong-In Won

Get full text

Directed attenuation to enhance vaccine immunity. by Rustom Antia, Hasan Ahmed, James J Bull

Get full text

Number Recognition Through Color Distortion Using Convolutional Neural Networks by Christopher Henshaw, Jacob Dennis, Jonathan Nadzam, Alan J. Michaels

Get full text

Beyond Snippet Assistance: A Workflow-Centric Framework for End-to-End AI-Driven Code Generation by Vladimir Sonkin, Cătălin Tudose

Get full text

Fake Fingerprint Classification Using Hybrid Features Learning With Gradient Boosting by Muhammad Salman Ali, Arslan Akram, Javed Rashid, Muhammad Arfan Jaffar, Dilawar Shah, Shujaat Ali, Muhammad Tahir

Get full text

Increment of Academic Performance Prediction of At-Risk Student by Dealing With Data Imbalance Problem by Nguyen Giap Cu, Thi Lich Nghiem, Thi Hoai Ngo, Manh Tuong Lam Nguyen, Hong Quan Phung

Get full text