Automation Applications in Integrated Animal Production System by Emre Aydemir, İnci Bilge

“…Thanks to the intelligent sensors and controllers of these elements, feed and water of animals are recorded from central computers in automation control. In the studies, S7-300 PLC was used to carry out the general operation and collect the data. …”
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Ultra-Reliable and Low-Latency Wireless Hierarchical Federated Learning: Performance Analysis by Haonan Zhang, Peng Xu, Bin Dai

“…Wireless hierarchical federated learning (WHFL) is an implementation of wireless federated Learning (WFL) on a cloud–edge–client hierarchical architecture that accelerates model training and achieves more favorable trade-offs between communication and computation. However, due to the broadcast nature of wireless communication, the WHFL is susceptible to eavesdropping during the training process. …”
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Fully Distributed Low-Complexity UAV Formation Control With Fixed-Time Full-State Error Performance by Pengfei Yu, Qing Li

“…The proposed control scheme has the capability to handle external disturbances without observer or adaptive law, simplifying the controller’s design and implementation process, reducing computational burden. Moreover, by imposing fixed-time performance constraints on tracking error and virtual error, fixed-time formation tracking error and virtual velocity tracking error can be achieved, which also improves the response speed and accuracy of UAV formation, making it more capable of meeting the time requirements of actual tasks and adapting to dynamically changing environments. …”
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IAS-CNN: Image adaptive steganalysis via convolutional neural network combined with selection channel by Zhujun Jin, Yu Yang, Yuling Chen, Yuwei Chen

“…IAS-CNN not only has similar performance with YedroudjNet in S-UNIWARD steganalysis but also has fewer parameters and convolutional computations.…”
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Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion by Yonghong Zhao, Xiumei Fan, Jisong Liu

“…In addition, it offers distinct advantages in terms of generalization and computational efficiency.…”
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Assessing thermal properties of enclosing structures of construction facilities by analysis of thermograms by D. F. Karpov, M. V. Pavlov

“…Qualitative assessment involves computer processing and visual interpretation of thermograms using specialized software. …”
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Application of novel security technique in cloud environment using attribute dependent authentication for health care by D. Deena Rose, C. Agees Kumar

“…A new Matrix based encryption algorithm (M-EA), is proposed in this research, for quick computational processing, effective and reliable data storage in the cloud. …”
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ANALYSIS OF THREE SERVERS CLOSED SERIES QUEUING NETWORK WITH DELAY TIME USING MAX-PLUS ALGEBRA by Marcellinus Andy Rudhito, Dewa Putu Wiadnyana Putra

“…This study is a study based on literature studies, mathematical model studies and simulations assisted by the Scilab computer program. The results show that the max-plus eigenvalue of a closed series queuing network with 3 servers, which is also the periodicity of network dynamics, is the largest service time of the server in the network. …”
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Development of a Design Procedure Combining Topological Optimization and a Multibody Environment: Application to a Tram Motor Bogie Frame by Alessio Cascino, Enrico Meli, Andrea Rindi

“…Their integration could enhance design accuracy, streamline the traditional design workflow, and support innovation. The optimization process involved the introduction of complex technological constraints, directing the geometry toward production by casting. …”
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A Pictorial Review of CT Angiography Imaging Features of Aortic Dissection and Its Complications: Role of Emergency Teleradiology by Reddy Muni Harika, Rao Pallavi, Kalyanpur Arjun

“…The clinical outcome is determined by the type and extent of dissection, and its associated complications. Thus, knowledge of computed tomography (CT) angiography imaging features of aortic dissection and its complications, coupled with a process for immediate interpretation such as teleradiology, is essential for early diagnosis and treatment. …”
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Through-Wall Detection with LS-SVM under Unknown Wall Characteristics by Fangfang Wang, Yerong Zhang, Huamei Zhang

“…One of the main challenges in through-wall imaging (TWI) is the presence of the walls, whose returns tend to obscure the target behind the walls and must be considered and computed in the imaging procedure. In this paper, a two-step procedure for the through-wall detection is proposed. …”
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Studies on Vibration and Synchronization Characteristics of an Anti-Resonance System Driven by Triple-Frequency Excitation by Duyu Hou, Zheng Liang, Zhuozhuang Zhang, Zihan Wang

“…In the continuous drilling process of oil wells, to achieve the efficient screening of drilling fluids by the vibrating screen while ensuring the safety of the screening operation, an anti-resonance system driven by two exciters with triple-frequency (denoted as 3:1 frequency ratio) is proposed. …”
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Finite element analysis of oil storage tank failure under complex loading conditions by Mashiyane Themba, Tartibu Lagouge, Salifu Smith

“…This paper presents a comprehensive computational study that utilizes Finite Element Analysis (FEA) technique to investigate the failure mechanism of oil storage tanks when subjected to complex loading conditions. …”
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Technology trends in the creative and cultural industries sector: a systematic literature review by Luis Ortiz-Ospino, Estiven González-Sarmiento, Jhoselin Roa-Perez

“…Through a systematic literature review and a technology oversight process, the most influential global technology trends for CCIs are identified, with a specific focus on digital content. …”
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A Strawberry Ripeness Detection Method Based on Improved YOLOv8 by Yawei Yue, Shengbo Xu, Huanhuan Wu

“…Secondly, the bilinear interpolation operator was replaced with DySample (dynamic sampling), which optimized data processing, reduced computational load, accelerated upsampling, and improved the model’s sensitivity to fine strawberry details. …”
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Advancing plant leaf disease detection integrating machine learning and deep learning by R. Sujatha, Sushil Krishnan, Jyotir Moy Chatterjee, Amir H. Gandomi

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RACH Traffic Prediction in Massive Machine Type Communications by Hossein Mehri, Hani Mehrpouyan, Hao Chen

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Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery by Xiaoyu Hu, Xiuyuan Zhao, Wenhe Liu

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Ensembling methods for protein-ligand binding affinity prediction by Jiffriya Mohamed Abdul Cader, M. A. Hakim Newton, Julia Rahman, Akmal Jahan Mohamed Abdul Cader, Abdul Sattar

“…Abstract Protein-ligand binding affinity prediction is a key element of computer-aided drug discovery. Most of the existing deep learning methods for protein-ligand binding affinity prediction utilize single models and suffer from low accuracy and generalization capability. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

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