Intelligent Defect Identification Based on PECT Signals and an Optimized Two-Dimensional Deep Convolutional Network by Baoling Liu, Jun He, Xiaocui Yuan, Huiling Hu, Xuan Zeng, Zhifang Zhu, Jie Peng

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Composition analysis of ultrapyrolytic recycled products from various brands of ultra-heavy mining truck waste tires by Mohammadreza Sharifian, Ali Farhadian, Hamid Almasiyeh, Seyed Hadi Hoseinie

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COLD-12: A multi-level feature extraction hybrid CNN Model for accurate cotton disease diagnosis by Md. Asraful Sharker Nirob, Prayma Bishshash, A K M Fazlul Kobir Siam

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OPCPP: An Online Plug-Configure-Play Experiment Platform for WSN by Wei Lin, XueHai Hong, Chaonong Xu, YongJun Xu, DengChang Zhao

“…We also develop a sensor-aware ZigBee-based smart home system prototype based on OPCPP.…”
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Joint timeliness and security provisioning for enhancement of dependability in Internet of Vehicle system by Tao Jing, Hengyu Yu, Xiaoxuan Wang, Qinghe Gao

“…The Internet of Things has emerged as a wonder-solution to numerous problems in our everyday lives, such as smart homes and intelligent transportation. As an extension of the IoTs, the Internet of Vehicles (IoVs) also requires increasingly high security and timeliness. …”
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Machine Learning Methods for Quality Prediction in Production by Sidharth Sankhye, Guiping Hu

“…The rising popularity of smart factories and Industry 4.0 has made it possible to collect large amounts of data from production stages. …”
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Programmable Control of Droplets on Phase-Change Lubricant-Infused Surfaces Under Low Voltage by Lingjie Sun, Chunlei Gao, Wei Li

“…Programmable droplet coalescence, curved-surface transport, and a microreactor design for batch reactions were also demonstrated. The PTFH exhibits excellent transparency (89% when activated), mechanical flexibility, and cyclic stability, offering a versatile platform for microreactors, microengines, and smart windows.…”
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AML-Based Multi-Dimensional Co-Evolution Approach Supported by Blockchain: Architecture Design and Case Study on Intelligent Production Lines for Industry 4.0 by Kai Ding, Detlef Gerhard, Liuqun Fan

“…Its innovations are, firstly, developing a comprehensive two-layer management model, combining blockchain with the Interplanetary File System (IPFS) to build an integrated solution for private and public hybrid containers based on a collaborative model; secondly, designing a version co-evolution management method by combining smart contract workflows and AML multi-dimensional modeling processes; meanwhile, introducing a specially designed conflict resolution mechanism based on the graph model to maintain consistency in version multi-batch management and; finally, using the test cases established in the lab’s I5Blocks for verification.…”
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Sustainable innovation for fermented cassava roasting: Examining the potential of parabolic dish solar collectors and thermal energy storage by O.G. Sobarasua, I.F. Onuche, A.O. Kuye, E.O. Diemuodeke, I.K. Muritala, E.G. Saturday, K.E. Okedu, A. Kalam

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Real-time quantification of activated sludge concentration and viscosity through deep learning of microscopic images by Hewen Li, Yu Tao, Tiefu Xu, Hongcheng Wang, Min Yang, Ying Chen, Aijie Wang

“…Microscopic videos of activated sludge are captured in lab-scale sequencing batch reactors under chemical oxygen demand shock, yielding 41482 high-quality images. …”
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A Three-Stage Fusion Neural Network for Predicting the Risk of Root Fracture—A Pilot Study by Yung-Ming Kuo, Liang-Yin Kuo, Hsun-Yu Huang, Tsen-Yu Sung, Chun-Hung Yang, Wan-Ting Chang, Chien-Shun Lo

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Evaluation of Multimerization of Aptamers against SARS-CoV-2 Delta Variant VLP as A Refinement Strategy in The Detection of the SARS-CoV-2 Virus by Dr Siti Farah Nawi, Mr Amir Muhaimin Akmal Shukri, Assoc Prof Dr Wang Seok Mui, Assoc Prof Dr Chia Suet Lin, Dr Citartan Marimuthu

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A Self-Supervised Method for Speaker Recognition in Real Sound Fields with Low SNR and Strong Reverberation by Xuan Zhang, Jun Tang, Huiliang Cao, Chenguang Wang, Chong Shen, Jun Liu

“…Speaker recognition is essential in smart voice applications for personal identification. …”
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Learning the continuous-time optimal decision law from discrete-time rewards by Chen Ci, Xie Lihua, Xie Kan, Lewis Frank Leroy, Liu Yilu, Xie Shengli

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Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…Precise recognition of individual ovine specimens plays a pivotal role in implementing smart agricultural platforms and optimizing herd management systems. …”
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Pest detection in dynamic environments: an adaptive continual test-time domain adaptation strategy by Rui Fu, Shiyu Wang, Mingqiu Dong, Hao Sun, Mohammed Abdulhakim Al-Absi, Kaijie Zhang, Qian Chen, Liqun Xiao, Xuewei Wang, Ye Li

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A Mixed-Integer Linear Programming Model for Addressing Efficient Flexible Flow Shop Scheduling Problem with Automatic Guided Vehicles Consideration by Dekun Wang, Hongxu Wu, Wengang Zheng, Yuhao Zhao, Guangdong Tian, Wenjie Wang, Dong Chen

“…This research highlights the importance of integrated production–transportation scheduling for reducing manufacturing cycle time and reveals a threshold effect in AGV resource allocation, providing a theoretical basis for collaborative optimization in smart factories.…”
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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures by Jatin Sharma, Asma A. Al-Huqail, Ahmad Almogren, Hardik Doshi, B. Jayaprakash, B. Bharathi, Ateeq Ur Rehman, Seada Hussen

“…To improve feature extraction, the models were tweaked by changing their output layers with GlobalAverage Pooling2D, Batch Normalization, Dropout, and Dense layers. To take use of their complimentary qualities, the feature maps from both models were combined. …”
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An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization by Shehu Lukman Ayinla, Azrina Abd Aziz, Micheal Drieberg, Misfa Susanto, Afidalina Tumian, Mazlaini Yahya

“…However, achieving the necessary precision for most smart applications has proven difficult due to various challenges, including the time-varying characteristics of indoor RSSI, device heterogeneity, and ambiguity in the positional fingerprints. …”
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Optimization of Metakaolin-Based Alkali Activated Materials for Efficient Copper Removal from Wastewater by M. Ibrahim, W.M.W. Ibrahim, M.M. Al Bakri Abdullah, A. Romisuhani, P. Postawa, S. Ishak, R. Ediati

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