Advancing Kiwifruit Maturity Assessment: A Comparative Study of Non-Destructive Spectral Techniques and Predictive Models by Michela Palumbo, Bernardo Pace, Antonia Corvino, Francesco Serio, Federico Carotenuto, Alice Cavaliere, Andrea Genangeli, Maria Cefola, Beniamino Gioli

“…Three different regression methods—Partial Least Squares (PLS), Support Vector Regression (SVR), and Gaussian process regression (GPR)—were tested to assess their predictive accuracy. …”
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Prioritizing Critical Factors Affecting Occupational Safety in High-Rise Construction: A Hybrid EFA-AHP Approach by Hai Chien Pham, Si Van-Tien Tran, Ung-Kyun Lee

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Design and Manufacture of a Flexible Adaptive Fixture for Precision Grinding of Thin-Walled Bearing Rings by Yao Shi, Yu He, Jun Zha, Bohao Chen, Chaoyu Shi, Ming Wu

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Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review by Wenlong Wang, Zhe Wu, Dominic Peters, Berkay Citmaci, Carlos G. Morales-Guio, Panagiotis D. Christofides

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Investigation Into the Identification of AI-Generated Short Dialectal Arabic Texts by Haifa Alharthi

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Resilience assessment of mobile emergency generator-assisted distribution networks: A stochastic geometry approach by Chenhao Ren, Rong-Peng Liu, Wenqian Yin, Qinfei Long, Yunhe Hou

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Application of Time-Weighted PageRank Method with Citation Intensity for Assessing the Recent Publication Productivity and Partners Selection in R&D Collaboration by Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Aidos Mukhatayev, Yurii Andrashko, Sapar Toxanov, Adil Faizullin, Khanat Kassenov

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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

“…With the popularity of intelligent chip in the application of edge terminal devices, a large number of AI applications will be deployed on the edge of networks closer to data sources in the future.The method based on DNN partition can realize deep learning model training and deployment on resource-constrained terminal devices, and solve the bottleneck problem of edge AI computing ability.Thekernel based partition method (KPM) was proposed as a new scheme on the basis of traditional workload based partition method (WPM).The quantitative analysis of inference performance was carried out from three aspects of computation FLOPS, memory consumption and communication cost respectively, and the qualitative analysis of the above two schemes was carried out from the perspective of flexibility, robustness and privacy of inference process.Finally, a software and hardware experimental platform was built, and AlexNet and VGG11 networks were implemented using PyTorch to further verify the performance advantages of the proposed scheme in terms of delay and energy consumption.It was concluded that, compared with the WPM scheme, the KPM scheme had better DNN reasoning acceleration effect in large-scale computing scenarios.And it has lower memory usage and energy consumption.…”
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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

“…With the popularity of intelligent chip in the application of edge terminal devices, a large number of AI applications will be deployed on the edge of networks closer to data sources in the future.The method based on DNN partition can realize deep learning model training and deployment on resource-constrained terminal devices, and solve the bottleneck problem of edge AI computing ability.Thekernel based partition method (KPM) was proposed as a new scheme on the basis of traditional workload based partition method (WPM).The quantitative analysis of inference performance was carried out from three aspects of computation FLOPS, memory consumption and communication cost respectively, and the qualitative analysis of the above two schemes was carried out from the perspective of flexibility, robustness and privacy of inference process.Finally, a software and hardware experimental platform was built, and AlexNet and VGG11 networks were implemented using PyTorch to further verify the performance advantages of the proposed scheme in terms of delay and energy consumption.It was concluded that, compared with the WPM scheme, the KPM scheme had better DNN reasoning acceleration effect in large-scale computing scenarios.And it has lower memory usage and energy consumption.…”
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Signs of the Times: Medieval Punctuation, Diplomatic Encoding and Rendition by Elisa Cugliana, Gioele Barabucci

“…through epistemology (is the processing of punctuation a mere technical transformation or a valuable part of the scholarship?). …”
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METHODS OF RADIOLOGICAL IMAGING IN THE DIAGNOSIS OF SPACE-OCCUPYING LESIONS OF THE ADRENAL GLANDS (LITERATURE REVIEW) by Liliya A. Shingareeva, Denis A. Baikov

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Internal flow characteristics of axial flow absorbers by WANG Hao-yu, LIU Ying-shu, WU Yi-min, ZHENG Xin-gang

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Towards an Effective Use of Audio Conferencing in Distance Language Courses by Regine Hampel, Mirjam Hauck

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TOLD LIKE IT IS! AN EVALUATION OF AN INTEGRATED ORAL DEVELOPMENT PILOT PROJECT by David Barr, Jonathan Leakey, Alexandre Ranchoux

“…Much established pedagogical and CALL (computer-assisted language learning) research advocates an integrated constructivist approach to the use of technology in language learning. …”
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Gripping Success Metric for Robotic Fruit Harvesting by Dasom Seo, Il-Seok Oh

“…Recently, computer vision methods have been widely applied to agricultural tasks, such as robotic harvesting. …”
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Tailhook Recognition for Carrier-Based Aircraft Based on YOLO with Bi-Level Routing Attention by Aiguo Lu, Pandi Liu, Jie Yang, Zhe Li, Ke Wang

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RESEARCH CONCAVE CIRCULAR HOLE TEMPLATE LINEAR VARIABLE THICKNESS STIFFNESS AND STRENGTH THEORIES by LI ShaoJie

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Method to Assess Computerised Systems Supporting Maintenance Services by Michał Pająk, Bogdan Landowski, Łukasz Muślewski, Dragutin Lisjak

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Toward Annotation, Visualization, and Reproducible Archiving of Human–Human Dialog Video Recording Applications by Verena Schreyer, Marco Xaver Bornschlegl, Matthias Hemmje

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The Effect of Barrel Configurations on the Porosity During HVAF Thermal Spray Ni-Based Amorphous Coatings: Numerical Simulation and Experiment by Nianchu Wu, Tingting Li, Xiaotian Su

“…The relationship between barrel configurations and porosity of a Ni-based amorphous coating (AM) that is fabricated using a high-velocity air fuel (HVAF) process was revealed by both numerical and experimental methods. …”
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