Magnetic Resonance Imaging Brain Segmentation Using Bi-Directional Convolutional Long Short-Term Memory U-Net With Densely Connected Convolutions by Meshari D. Alanazi, Amna Maraoui, Imen Werda, Ahmed Ben Atitallah, Turki M. Alanazi, Mohammed Albekairi, Anis Sahbani, Amr Yousef

“…With 8.81 million parameters and 60.34 GFLOPs, our model also greatly lowers complexity by up to 15% and balances accuracy with efficiency. …”
Get full text

Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics by Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou

“…Moreover, the spatial resolution, high-throughput detection capability, capture efficiency, and compatibility with various sample types of omics technology have considerably advanced. …”
Get full text

Frequency-comb-referenced multiwavelength interferometry for high-precision and high-speed 3D measurement in heterogeneous semiconductor packaging by Park Jun Hyung, Kim Dae Hee, Chu Huy Hoang, Hahm Ji Won, Kang Guseon, Lee Dongil, Song Seyong, Kang Mingu, Kim Seung-Woo, Kim Young-Jin

“…As 2.5D/3D packaging architectures become increasingly complex, our approach will readily meet the critical industrial demands for high-precision and high-speed measurement of multiscale features in advanced semiconductor packaging.…”
Get full text

Multi-objective optimization of urban logistics land: a gradient-based method approach with Wuhan city as an example by Hongzan Jiao, Shuaikang Zhang

“…The application of this model in the Wuhan Urban Development Area reveals that: (1) across various scenarios, the model balances the utilization of multiple optimization objectives and demonstrates high solution efficiency; (2) in both the equal weight scenario and the economic preference scenario, the areas of logistics land change are characterized by high economic output, relatively good traffic conditions, greater distance from residential zones, and comparatively low land prices; and (3) based on urban development goals, the model can determine the upper bounds of the optimization objectives through manual supervision of the selection of ideal points.…”
Get full text

Enhanced Broad-Learning-Based Dangerous Driving Action Recognition on Skeletal Data for Driver Monitoring Systems by Pu Li, Ziye Liu, Hangguan Shan, Chen Chen

“…The BLS model, optimized with sparse feature selection and Principal Component Analysis (PCA), ensures efficient processing and real-time performance. …”
Get full text

A Cooperative Motion Control Using Leader-Follower Approach for Unmanned Underwater Vehicle by Jingxiang Feng, Yang Cao, Xueman Fan, Guang Yang, Jingwei Dong

“…A double DQN structure with fixed Q targets is designed to reduce the complexity of the training algorithm, thus stability and efficiency are improved. …”
Get full text

Sustainable uric acid sensor based on a lab-fabricated electrode modified with rice straw-derived carbon materials by Pakin Noppawan, Jaroon Jakmunee, Andrew J. Hunt, Nontipa Supanchaiyamat, Suwiwat Sangon, Jamras Lerdsri, Thidarat Kruatian, Jantima Upan

“…Furthermore, the sensor demonstrates robust selectivity toward uric acid in the presence of typical interferents, underscoring its applicability for precise uric acid determination in complex biological matrices. …”
Get full text

Suitability Analysis of Inverter Topologies and Their Modulation Strategies for Two-Phase Bearingless Motors by Qiang Ding, Xucong Bao

“…The available inverter topologies (full bridge topology, staggered parallel topology and split capacitor topology) and their corresponding modulation schemes for two-phase BM, which are sinusoidal pulse width modulation (SPWM) and space vector pulse width modulation (SVPWM), are compared and analyzed in detail from the perspective of four dimensions, i.e., system cost, control performance, voltage utilization, and algorithm complexity. The staggered parallel topology is selected as the inverter topology for two-phase BM in this paper for its low system cost and high control performance, and an improved SPWM scheme, which increases the voltage utilization from 50% to 71%, is proposed. …”
Get full text

Smart Clove Oil Distillation System using IoT and Ultrasonic Sensors by Ihwana As'ad, Andi Muhammad Rahmatullah, Syahrul Mubarak Abdullah, Fahmi Fahmi, Hariani Ma'tang Pakka, Andiyan Andiyan

“…Furthermore, the modular container design promotes gravity-assisted separation, enhancing energy efficiency and reducing mechanical complexity. The remote monitoring feature allows users to access real-time data on fluid levels and system status, ensuring reliable operation with minimal manual supervision. …”
Get full text

LeafDNet: Transforming Leaf Disease Diagnosis Through Deep Transfer Learning by Tofayet Sultan, Mohammad Sayem Chowdhury, Nusrat Jahan, M. F. Mridha, Sultan Alfarhood, Mejdl Safran, Dunren Che

“…These results emphasize the potential of this advanced deep learning framework as a scalable, efficient, and highly accurate solution for early plant disease detection, providing substantial benefits for plant health management and supporting sustainable agricultural practices.…”
Get full text

Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…From living by water and grass of early human beings to today’s “Four Determinations Based on Water”, the complex relationship between people and water is an important clue for the formation and development of human civilization, and the harmonious relationship between people and water in river basins is an important basis for achieving sustainable development. …”
Get full text

Cognitive Mechanisms Underlying the Influence of Facial Information Processing on Estimation Performance by Xinqi Huang, Xiaofan Zhou, Mingyi Xu, Zhihao Liu, Yilin Ma, Chuanlin Zhu, Dongquan Kou

“…In the estimation task, participants used either the down-up or up-down problem to select approximate answers. In Experiment 1, we found that negative emotions impair estimation performance, while positive and consistent emotions have a facilitating effect on estimation efficiency. …”
Get full text

Intelligent Perception and Seam Tracking System for Thick Plate Weldments Based on Constant-Focus Optical Path by Lei Zhai, Wenze Ren, Fei Li, Rong Wu, Jinsong Lin, Jiahui Feng, Jun Zheng, Yang Liu

“…To achieve efficient and accurate thick plate welding, as well as to precisely extract and plan the paths of complex three-dimensional weld seams in large steel structures, this study introduces a novel vision-guided approach for robotic welding systems utilizing a constant-focus laser sensor. …”
Get full text

Cyberattack Resilience of Autonomous Vehicle Sensor Systems: Evaluating RGB vs. Dynamic Vision Sensors in CARLA by Mustafa Sakhai, Kaung Sithu, Min Khant Soe Oke, Maciej Wielgosz

“…Autonomous vehicles (AVs) rely on a heterogeneous sensor suite of RGB cameras, LiDAR, GPS/IMU, and emerging event-based dynamic vision sensors (DVS) to perceive and navigate complex environments. However, these sensors can be deceived by realistic cyberattacks, undermining safety. …”
Get full text

Molecular Xenomonitoring (MX) allows real-time surveillance of West Nile and Usutu virus in mosquito populations. by Clément Bigeard, Laura Pezzi, Raphaelle Klitting, Nazli Ayhan, Grégory L'Ambert, Nicolas Gomez, Géraldine Piorkowski, Rayane Amaral, Guillaume André Durand, Agathe M G Colmant, Cynthia Giraud, Katia Ramiara, Camille Migné, Gilda Grard, Thierry Touzet, Stéphan Zientara, Rémi Charrel, Gaëlle Gonzalez, Alexandre Duvignaud, Denis Malvy, Xavier de Lamballerie, Albin Fontaine

“…West Nile Virus (WNV) and Usutu virus (USUV) circulate through complex cryptic transmission cycles involving mosquitoes as vectors, birds as amplifying hosts and several mammal species as dead-end hosts. …”
Get full text

Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model by Shengkun Liao, Lei Zhang, Yunli He, Junhui Zhang, Jinxu Sun

“…The optimized YOLOv11n model achieves state-of-the-art precision (P) and mAP@0.5 compared to YOLOv5, YOLOv8n, and the baseline model, with a minor 0.9% recall (R) deficit compared to YOLOv5 but more balanced overall performance and superior capability for small-object detection. By fusing the two improved modules, the proposed system successfully realizes autonomous charging navigation, providing an efficient solution for energy management in intelligent vehicles in real-world environments.…”
Get full text

A Firefly Algorithm and Elite Ant System-Trained Elman Neural Network for MPPT Algorithm of PV Array by Yan Zhang, Ya-jun Wang, Han Li, Jia-Bao Chang, Jia-qi Yu

“…Furthermore, MATLAB/Simulink is adopted to acquire the datasets of irradiance, temperature, and maximum voltage and validate the reliability and superiority of the proposed algorithm under complex atmospheric conditions. The tracking characteristic, response speed, and efficiency of the proposed MPPT algorithm are contrasted with the particle swarm optimization (PSO), ant colony optimization (ACO), ACO-artificial neural network (ACO-ANN), and PSO-RBF neural network (PSO-RBNFNN) algorithm via simulation. …”
Get full text

Cost-effective PV panel cleaning system controlled by raspberry PI using image processing by Uçkan Gökhan, Oğuzay Engin

“…However, these are often complex and costly. Since PV investment costs are high, it is of great importance to design and operate PV panels at the highest efficiency. …”
Get full text

Barriers to the implementation of large-scale electronic health record systems in primary healthcare centers: a mixed-methods study in Saudi Arabia by Haitham Alzghaibi, Hayley A. Hutchings

“…BackgroundIn the past two decades, policymakers have increasingly prioritized the integration of technology to enhance healthcare quality and efficiency. However, nearly half of these initiatives have failed to achieve their intended objectives due to various challenges, including financial constraints and implementation complexities. …”
Get full text

Artificial intelligence-based multi-expression programming prediction of magnetized radiative nanofluid flow between coaxial deformable tubes by Bilal Ahmed, Dong Liu, Bouthaina Dammak, Naeem Ullah, Afraz Hussain Majeed, Hafedh Mahmoud Zayani, Binjuan Zhao

“…Endoscopy is used to detect the inner diseases of body that are complex to detect from the ordinary visualization and outer tube shows the blood flow arteries. …”
Get full text