A System for Real-Time Detection of Abandoned Luggage by Ivan Vrsalovic, Jonatan Lerga, Marina Ivasic-Kos

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Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications by Muteb Faraj Alharthi, Nadeem Akhtar

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Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models by Hirokazu Madokoro, Stephanie Nix

“…Building on these insights, we implemented a CLIP-based system for 2D image analysis that achieved a Top-1 accuracy of 0.24 and a Top-5 accuracy of 0.52 when tested on diverse smartphone-captured images. The performance evaluations on Graphics Processing Unit (GPU) and Single-Board Computer (SBC) platforms highlight a viable path toward edge deployment. …”
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Real-Time Object Detection and Distance Measurement Enhanced with Semantic 3D Depth Sensing Using Camera–LiDAR Fusion by Ahmet Serhat Yildiz, Hongying Meng, Mohammad Rafiq Swash

“…Camera and LiDAR data fusion has been a popular research area, especially in the field of autonomous vehicles. This study evaluates the efficiency and accuracy of different depth point extraction methods, including Point-by-Point (PbyP), Complete Region Depth Extraction (CoRDE), Central Region Depth Extraction (CeRDE), and Grid Central Region Depth Extraction (GCRDE), across object categories such as person, bicycle, car, bus, and truck, and occlusion levels ranging from 0 to 3. …”
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Assessing the Effect of Air Ventilation on the Dispersion of Exhaled Aerosol Particles in a Lecture Hall: Simulation Strategy and Streamlined Workflow by Arnav Ajmani, Lars Kirchhof, Alireza Rouhi, Carsten Mehring

“…The efficiency of the proposed workflow is evaluated for the specific case of a lecture hall. …”
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Novel ¹⁷⁷Lu-Labeled [Thz¹⁴]Bombesin(6–14) Derivatives with Low Pancreas Accumulation for Targeting Gastrin-Releasing Peptide Receptor-Expressing Cancer by Lei Wang, Devon E. Chapple, Hsiou-Ting Kuo, Sara Kurkowska, Ryan P. Wilson, Wing Sum Lau, Pauline Ng, Carlos Uribe, François Bénard, Kuo-Shyan Lin

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Mapping stains on flat roofs using semantic segmentation based on deep learning by Lara Monalisa Alves dos Santos, Leonardo Rabero Lescano, Gabriel Toshio Hirokawa Higa, Vanda Alice Garcia Zanoni, Lenildo Santos da Silva, Cesar Ivan Alvarez, Hemerson Pistori

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Applying SSVEP BCI on Dynamic Background by Junkai Li, Boxun Fu, Fu Li, Wenkai Gu, Youshuo Ji, Yang Li, Tiejun Liu, Guangming Shi

“…Brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) have attracted much attention due to their high efficiency and accuracy. …”
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Impact of Models of Thermodynamic Properties and Liquid–Gas Mass Transfer on CFD Simulation of Liquid Hydrogen Release by Chenyu Lu, Jianfei Yang, Jian Yuan, Luoyi Feng, Wenbo Li, Cunman Zhang, Liming Cai, Jing Cao

“…Due to the complexity and costs of experimental investigation, computational fluid dynamics (CFD) simulations have been extensively applied to investigate the dynamic behaviors of liquid hydrogen release. …”
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A discrete extension of the Lindley distribution for health and sustainability data: Theoretical insights and decision-making applications by Mahmoud El-Morshedy, Mohamed S. Eliwa, Abhishek Tyagi, Hend S. Shahen

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A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification by Neha Sharma, Manoj Sharma, Amit Singhal, Nuzhat Fatema, Vinay Kumar Jadoun, Hasmat Malik, Asyraf Afthanorhan

“…In the realm of Brain-Computer Interface (BCI) research, the precise decoding of motor imagery electroencephalogram (MI-EEG) signals is pivotal for the realization of systems that can be seamlessly integrated into practical applications, enhancing the autonomy of individuals with mobility impairments. …”
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Systematic and Quantitative Assessment of Reduced Model Resolution on the Transient Structural Response Under Wind Load by Anoop Kodakkal, Máté Péntek, Kai-Uwe Bletzinger, Roland Wüchner, Felix Weber

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A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

“…Traditional metaheuristic approaches for structural optimization often encounter challenges such as premature convergence, computational inefficiency, and limited adaptability to complex constraints in high-dimensional search spaces. …”
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Cross-Language Transfer-Learning Approach via a Pretrained Preact ResNet-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji by Vasyl Rusyn, Andrii Boichuk, Lesia Mochurad

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Feasibility and Accuracy of an RTMPose-Based Markerless Motion Capture System for Single-Player Tasks in 3x3 Basketball by Wen Zheng, Mingxin Zhang, Rui Dong, Mingjia Qiu, Wei Wang

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SCiMA: A Systolic CiM-Based Accelerator With a New Weight Mapping for CNNs—A Virtual Framework Approach by Rezgar Sadeghi, Zainalabedin Navabi

“…Efficient execution of deep convolutional neural networks (DCNNs) on von Neumann platforms has significantly encountered the memory wall. Computation-in-Memory (CiM) aims to integrate computation and storage by performing analog dot product operations within memory cells. …”
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Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

“…Traditional approaches, such as Computational Fluid Dynamics (CFD) and Direct Numerical Simulations (DNS), often require extensive post-processing to extract fluid flow properties. …”
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Research on the Method of Automatic Generation and Multi-Objective Optimization of Block Spatial Form Based on Thermal Comfort Demand by Zhenhua Xu, Hao Wu, Cong Han, Jiaying Chang

“…Urban thermal environment challenges in China have made outdoor thermal comfort a key factor in evaluating spatial quality and livability. Building layout not only affects internal performance but also shapes the microclimate of surrounding outdoor spaces. …”
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Filters Effect on Image Quality of 177Lu-DOTATATE SPECT Images for Neuro-Endocrine Tumors Scanning by Hussein Dakhil, Mohammad Reza Deevband, Mahasti Amoui, Ahmad Mostaar, Mahdi Ghorbani, Mohsen Khosroabadi, Mohammad Ali Ghodsirad

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Sacroiliac joint fusion guided by intraoperatively superimposed virtual surgical planning using simulated fluoroscopic images by Steven Lankheet, Nick Kampkuiper, Jorm Nellensteijn, Edsko Hekman, Gabriëlle Tuijthof, Femke Schröder, Maaike Koenrades

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