Shape‐Selective Molecular Separations Enabled by Rigid and Interconnected Confinements Engineered in Conjugated Microporous Polymer Membranes by Yanqiu Lu, Hao Deng, Liling Zhang, Yong Wang, Sui Zhang

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The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…In order to solve the above problems, this paper introduces the computer image processing technology based on deep learning, and the specific process is divided into three steps: first, the video sampling is carried out by the UAV to obtain a large number of pictures of the ship draft reading face, and the images are preprocessed; then, the deep learning target detection algorithm of improved YOLOv3 is used to process the images to predict the position of the waterline and identify the draft characters; finally, the prediction results are analyzed and processed to obtain the final reading results. …”
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Comparative Analysis of Recurrent vs. Temporal Convolutional Autoencoders for Detecting Container Impacts During Quay Crane Handling by Sergej Jakovlev, Tomas Eglynas, Edvinas Pocevicius, Miroslav Voznak, Gediminas Gricius, Valdas Jankunas, Mindaugas Jusis

“…This research develops and validates a novel impact detection system for container monitoring using autoencoders embedded within an edge computing unit. This solution addresses common limitations in current container tracking systems, such as a lack of real-time processing and reliance on cloud connectivity, by enabling local, on-device anomaly detection. …”
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Análisis de la implementación software de un conformador de señales ultrasónicas para tiempo real by D. Romero-Laorden, J. Villazón-Terrazas, M. Santos Peñas, M.A. García-Izquierdo, O. Martínez-Graullera

“…Palabras clave: Imagen Ultrasónica, Procesamiento de Señal, Computación Paralela, GPU, CUDA, Keywords: Ultrasonic imaging GPU Signal Processing Parallel computing CUDA…”
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A Trusted Batch Authentication Mechanism Based on Tree for Power Internet of Things by Baohua ZHAO, Zhihao WANG, Liandong CHEN, Chunhui REN, Fajiang YU, Qing XU

“…However, the existing data processing architecture has problems such as excessive pressure in cloud platform, and the existing trusted measurement architecture also has problems such as low efficiency and excessive consumption. …”
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Ultrasonic power and data transfer for active medical implants using adaptive beamforming by Tianhui Li, James A. Flint, Hailing Fu, Sotiris Korossis, Stephanos Theodossiades

“…Frequent wireless communication and data processing requires more energy than traditional active medical implants. …”
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Numerical Recognition Algorithm for Power Equipment Monitoring Based on Light-Resnet Convolutional Neural Network by Zhiheng KONG, Chong TAN, Peiyao TANG, Chengbo HU, Min ZHENG

“…Faced with the inefficiencies of manual recording and inspection, as well as the challenges associated with the complex installation, high cost and lengthy periods required for digital upgrades of monitoring devices, a novel approach that integrates image capture devices with image processing technology has been developed. This approach, leveraging the allocation of computational resources for task distribution, introduces a Light-Resnet-based numerical recognition algorithm, which enhances network training through the optimization of the D-Add loss function, enabling remote reading of electrical equipment monitoring data. …”
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Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR by Seelammal Chinnaperumal, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Doaa Sami Khafaga, Sekar Kidambi Raju, Marwa M. Eid, El-Sayed M. El-kenawy

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High Efficiency Electro-Optic Modulation in a Graphene Silicon Hybrid Tapered Microring Resonator by Yonghua Wang, Lei Lei, Junbin Zang, Wenchan Dong, Xinliang Zhang, Ping Xu

“…The proposed nanostructure provides a promising alternative method for high-performance EO modulator, which is essential for th<underline>e</underline> on-chip optical communication, optical computing and optical signal processing.…”
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AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO by Ngoc Giau Pham, Nhien Loc Bui, Quang Hien Tran, Le Thanh Hai Tong, Hong Ngoc Tran

“…This device is capable of capturing video and executing AI algorithms for real-time analysis, thereby deriving crucial data for IoT decision-making processes. The outcomes and structure of this prototype exhibit the potential for wider application, particularly in facial recognition technologies. …”
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Unexpected bony structure in tonsillar fossa during tonsillectomy by Čvorović Ljiljana, Jovanović Milan B., Đerić Dragoslava, Arsović Nenad

“…In the left tonsillar fossa an unexpected bony structure was found during the routine tonsillectomy on a 16-year-old female patient. Computed tomography showed the elongated styloid process. …”
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Security and privacy in online teaching during the COVID-19 pandemic: experiences and concerns of academics in Saudi higher education by Basmah Almekhled, Helen Petrie

“…This calls for a reevaluation of the effectiveness of webcam use in the teaching process and underscores the importance of exploring methods for enhancing engagement and interaction in online teaching. …”
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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…For the resource allocation problem, the trade-off relationship between the number of communication rounds and the delay per round when the goal of minimizing the total training time is analyzed, To meet the time constraints of each round of training, more frequency bandwidth should be allocated to devices with low computational power, compensating for a computational time by reducing communication time, and vice versa. …”
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Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields by Shih-Cheng Li, Pei-Hua Wang, Jheng-Wei Su, Wei-Yin Chiang, Tzu-Lan Yeh, Alex Zhavoronkov, Shih-Hsien Huang, Yen-Chu Lin, Chia-Ho Ou, Chih-Yu Chen

“…In active learning and autonomous reaction condition design, our model shows improvement for reaction yield prediction by incorporating new data, meaning that it can potentially be used in iterative processes. Our method can also accelerate the screening of billions of reaction conditions, achieving speeds millions of times faster than traditional computing units in identifying superior conditions. …”
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Artificial intelligence in agriculture: Advancing crop productivity and sustainability by Nazish Aijaz, He Lan, Tausif Raza, Muhammad Yaqub, Rashid Iqbal, Muhammad Salman Pathan

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Deep Learning Framework Using Spatial Attention Mechanisms for Adaptable Angle Estimation Across Diverse Array Configurations by Constantinos M. Mylonakis, Pantelis Velanas, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos, Zaharias D. Zaharis

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The Importance of Bottom Friction on Thermal Structure During Freezing of Small Shallow Lakes in Qinghai‐Tibet Plateau by Mengxiao Wang, Lijuan Wen, Lauri Arvola, Victor Stepanenko, Dongsheng Su

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Rapid and Accurate Shape-Sensing Method Using a Multi-Core Fiber Bragg Grating-Based Optical Fiber by Georgios Violakis, Nikolaos Vardakis, Zhenyu Zhang, Martin Angelmahr, Panagiotis Polygerinos

“…Its simplicity and accuracy make it suitable for embedded or edge-computing applications in confined navigation, structural inspection, and medical robotics.…”
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An Improved DHA Star and ADA-DWA Fusion Algorithm for Robot Path Planning by Yizhe Jia, Yong Cai, Jun Zhou, Hui Hu, Xuesheng Ouyang, Jinlong Mo, Hao Dai

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An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

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