Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

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BCI-DRONE CONTROL BASED ON THE CONCENTRATION LEVEL AND EYE BLINK SIGNALS USING A NEUROSKY HEADSET by Ali Abdulwahhab Mohammed, Ali H. Abdulwahhab, Alaa Hussein Abdulaal, Musaria Karim Mahmood, Indrit Myderrizi, Riyam Ali Yassin, Taha Talib Abdulridha, Morteza Valizadeh

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Salinity Stress in Strawberry Seedlings Determined with a Spectral Fusion Model by Haolin Yang, Xiaolei Zhang, Yinyan Shi, Lei Wang, Yanyu Chen, Zhongxian Wu, Wei Lu, Xiaochan Wang

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Prediction of coal mine water conduction fracture zone height based on integrated learning model by Meng Wang, Xufeng Zhang, Xin Li, Zhongzheng Fang, Yafei Wei, Hongyan Qin, Shuai Wang, Tianyu Liu, Yaqiang Zheng

“…The proposed approach offers a more accurate and intelligent tool for mine water hazard assessment and represents a significant advancement in applying machine learning to underground geological engineering.…”
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Recent Advances in Flexible and Wearable Gas Sensors Harnessing the Potential of 2D Materials by Azmira Jannat, Md Mehdi Masud Talukder, Zhong Li, Jian Zhen Ou

“…Comparative performance data across various material families are presented, alongside effective strategies for integrating 2D materials onto diverse flexible substrates such as polymers, textiles, and paper, emphasizing durability under mechanical stress. …”
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TBM Net Advance Rate Prediction Model Based on Ridge Regression Analysis by SHI Jian, ZHANG Shilin, FAN Zuosong, KONG Desen

“…[Objective] Accurate prediction of TBM (tunnel boring machine) net advance rate is of significant reference value for selecting urban tunneling methods, planning construction schedules, and controlling construction costs. …”
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An Extended Closure Relation by LightGBM for Neutrino Radiation Transport in Core-collapse Supernovae by Shota Takahashi, Akira Harada, Shoichi Yamada

“…In this paper, we report the results of this feature engineering in addition to those of the training, validation, and generalization of our model. …”
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Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems by William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez

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Determination Model of Epidermal Wettability for Apple Rootstock Cutting Based on the Improved U-Net by Xu Wang, Lixing Liu, Jinxuan Zou, Hongjie Liu, Jianping Li, Pengfei Wang, Xin Yang

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A Review on Integrating IoT, IIoT, and Industry 4.0: A Pathway to Smart Manufacturing and Digital Transformation by Fujun Qiu, Ashwini Kumar, Jiang Hu, Poorva Sharma, Yu Bing Tang, Yang Xu Xiang, Jie Hong

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Using Partial Reconfiguration and Message Passing to Enable FPGA-Based Generic Computing Platforms by Manuel Saldaña, Arun Patel, Hao Jun Liu, Paul Chow

“…As an example of the generality of this approach, four different applications that use the same template bitstream are run consecutively, with a PR operation performed at the beginning of each application to instantiate the desired application engine. …”
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An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security by Mouaad Mohy-Eddine, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…This study designs an intrusion detection model exploiting feature engineering and machine learning for IIoT security. …”
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ChatAnalysis revisited: can ChatGPT undermine privacy in smart homes with data analysis? by Jüttner Victor, Fleig Arthur, Buchmann Erik

“…Extending our prior work, we evaluate whether advances in model design, prompt engineering, and pre-trained knowledge enhance performance in these tasks and thus increase privacy risks. …”
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Applications of Artificial Intelligence in Vasculitides: A Systematic Review by Mahmud Omar, Reem Agbareia, Mohammad E. Naffaa, Abdulla Watad, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang

“…AI models achieved high diagnostic performance in Kawasaki disease, with sensitivities up to 92.5% and specificities up to 97.3%. …”
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Fractional Order PID Based Five-Step Li-Ion Battery Charger in Plug-in Hybrid Electric Vehicles by Manikandan M., Mohamed Shuaib Y.

“…The purpose of the research is to address the underutilization of electric machine-based propulsion in transportation despite its numerous advantages over conventional internal combustion engines (ICE), such as reduced emissions, lower fuel costs, and improved control and operation. …”
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Advanced neural network architectures for tomato leaf disease diagnosis in precision agriculture by Hritwik Ghosh, Irfan Sadiq Rahat, Md. Mintajur Rahman Emon, Md. Jisan Mashrafi, Mohammed Abdul Al Arafat Tanzin, Sachi Nandan Mohanty, Shashi Kant

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Effects of Operation Prediction Sharing for Collaborative Avatar Robot by Hyuga Suzuki, Hikari Yukawa, Kouta Minamizawa, Yoshihiro Tanaka

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MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism by Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang

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Efficient Solution of Fokker–Planck Equations in Two Dimensions by Donald Michael McFarland, Fei Ye, Chao Zong, Rui Zhu, Tao Han, Hangyu Fu, Lawrence A. Bergman, Huancai Lu

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Energy Efficiency Optimization of Air Conditioning Systems Towards Low-Carbon Cleanrooms: Review and Future Perspectives by Xinran Zeng, Chunhui Li, Xiaoying Li, Chennan Mao, Zhengwei Li, Zhenhai Li

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