Efficient Depth Map Estimation Method Based on Gradient Weight Cost Aggregation Strategy for Distributed Video Sensor Networks by Gwang-Soo Hong, Byung-Gyu Kim, Kee-Koo Kwon

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L2ER: Low-Latency and Energy-Based Routing Protocol for Cognitive Radio Ad Hoc Networks by Rana Asif Rehman, Byung-Seo Kim

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A Review on Transformer-Based Methods for Human Activity Recognition by Fatemeh Sadat Lasani, Ronak Fatahi

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Blind deblurring with intermediate correction using the dark channel prior by Min Xiao, Jinkang Zhang, Zijin Zhu, Meina Zhang

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4D hypercomplex-valued neural network in multivariate time series forecasting by Radosław Kycia, Agnieszka Niemczynowicz

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Learning Airfoil Flow Field Representation via Geometric Attention Neural Field by Li Xiao, Mingjie Zhang, Xinghua Chang

“…Numerical simulation in fluid dynamics can be computationally expensive and difficult to achieve. To enhance efficiency, developing high-performance and accurate surrogate models is crucial, where deep learning shows potential. …”
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A GA-Based Approach to Hide Sensitive High Utility Itemsets by Chun-Wei Lin, Tzung-Pei Hong, Jia-Wei Wong, Guo-Cheng Lan, Wen-Yang Lin

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Enzyme sequence optimisation via Gromov-Wasserstein Autoencoders integrating MSA techniques by Xuze Wang, Yangyang Li, Xiancong Hou, Hao Liu

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Three-Dimensional Holographic Imaging Using Single Frequency Microwave Data by Reza K. Amineh, Maryam Ravan, Raveena Sharma, Smit Baua

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HarmoDehazeDiffusion: Multi-Scale Spatial Fusion Network for Dense Haze Removal by Jiangjie Yu, Lina Yang, Shangqing Dai, Haoyan Yang

“…Image dehazing remains a critical yet challenging task in computer vision. While the existing dehazing methods have achieved notable progress, they still struggle to effectively eliminate dense haze in scenes while maintaining consistent illumination between dehazed regions and their surroundings. …”
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First-principles thermodynamic modeling for the Al-Nb-Ni ternary system by Arkapol Saengdeejing, Ryoji Sahara, Yoshiaki Toda

“…The alloys development process can be significantly accelerated, especially in the complex multi-component systems. …”
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Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles by S. Nirmala Devi, Rajesh Natarajan, Gururaj H. L., Francesco Flammini, Badria Sulaiman Alfurhood, Sujatha Krishna

“…Trajectory planning is a new research topic in the field of automated vehicles (AVs). It is the process of identifying a trajectory for the vehicle to traverse its environment without obstacle collision. …”
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RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems by Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li

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A Survey on Obstacle Detection and Avoidance Methods for UAVs by Ahmad Merei, Hamid Mcheick, Alia Ghaddar, Djamal Rebaine

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Optimal Design of Electrical Capacitance Tomography Sensor Based on Multiple Excitation Modes by YANG Bo-tao, WANG Li-li, CHEN De-yun, CHEN Feng

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Quantum Edge Detection and Convolution Using Paired Transform-Based Image Representation by Artyom Grigoryan, Alexis Gomez, Sos Agaian, Karen Panetta

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Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach by Kavitha Dhanushkodi, Akila Bala, Nithin Kodipyaka, V. Shreyas

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Modeling and Analysis of Peer-to-Peer Botnets by Liping Feng, Xiaofeng Liao, Qi Han, Lipeng Song

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Building Traceability Between Functional Requirements and Component Architecture Elements in Embedded Software Using Structured Features by Insun Yoo, Hyoseung Park, Seok-Won Lee, Ki-Yeol Ryu

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Pemanfaatan media pembelajaran berbasis augmented reality menggunakan aplikasi Ar_Jarkom pada mata kuliah instalasi jaringan komputer by Elfi Tasrif, Akrimullah Mubai, Asrul Huda, Kasman Rukun

“…So it can be concluded that AR-based learning media has a good level of practicality, effectiveness and influence to be used in the learning process of Computer Network Installation.…”
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