Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. …”
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Performance characterization of VARI-processed plain-woven glass/jute hybrid epoxy composites for renewable energy infrastructures: Experimental–numerical synergy by Macaulay M. Owen, Leong Sing Wong, Norashidah Binti Md Din, Emmanuel O. Achukwu, Ahmad, Zafir Romli, Solehuddin Shuib

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Preliminary study on the connotation of flexibility in dynamically reconfigurable networks by Dong-nian CHENG, Bin-qiang WANG, Bao-jin WANG, Jian-hui ZHANG

“…,the dynamic data channel varying with service demands,of reconfigurable networks was first exhibited and explained.Four dominant implications of the flexibility were then revealed as gradually mapping to demands,keeping global performance good,implicit isolation,and self-driven control.Finally,related quantitative models and methods for both determining the stable deviation of outcomes from demands and computing the volume of resource dynamically reconfigured were investigated by using the exponentially moving average,the n:m voting scheme,Markov decision processes (MDP) and reinforcement learning,respectively.…”
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Dual-timescale hierarchical MADDPG for Multi-UAV cooperative search by Jiancheng Liu, Siwen Wei, Bo Li, Tuo Wang, Wanlong Qi, Xingye Han, Gang Hou, Ke Li, Yuqing Lin, Dingrui Xue, Kexin Wang

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Environnement d’apprentissage et créativité : impact sur l’utilisation des stratégies cognitives créatives des étudiants en situation de résolution de problème by Amadou Diop, Hélène Cheneval-Armand, Jérémy Castera, Stéphanie Mailles-Viard Metz

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Precise distance measurement with stereo camera: experimental results by Haydar Yanık, Bülent Turan

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The Development of a Deployment System Architecture for a Flask-Based Chatbot Using an LSTM NLP Model for Customer Service Question & Answer by David Ramantya Mukti, Abu Salam

“…Amidst these changes, human-computer interactions have increasingly evolved toward natural conversations through Natural Language Processing (NLP). …”
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Numerical prognosis of the dynamic response of the steel rectangular slab under the explosive load by Sławomir Onopiuk, Adam Stolarski, Ryszard Rekucki

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Clinical and epidemiological characteristics of registered childhood tuberculosis cases in the North-Western Region of Russia when introducing a tuberculosis diagnosis complex usin... by I. F. Dovgalyuk, N. V. Korneva, A. A. Starshinova, Yu. E. Ovchinnikova, S. M. Ananyev

“…The paper analyzes changes in the pattern of clinical forms of registered tuberculosis cases, in the proportion of detected complications and phases of the specific process in children in 2007 to 2012. The findings were compared with registered morbidity rates and changes in the set of performed examinations [introduction of diaskintest (DST) and computed tomography (CT)] in 5 areas of the North-Western Region of the Russian Federation. …”
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NeuralConstraints: integrating a neural generative model with constraint-based composition by Juan S. Vassallo, Örjan Sandred, Julien Vincenot

“…We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework. …”
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Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay by Yoo-Sang Chang, Younho Seong, Sun Yi

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Asphaltene transformation and agglomeration in compressed light oil systems under carbon dioxide injection in a porous structure: A molecular dynamics study by Yaning Qu, Xiaogang Bai, Ali B.M. Ali, Murtadha M. Al-Zahiwat, Narinderjit Singh Sawaran Singh, Hani Sahramaneshi, Riadh Marzouki

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Two‐mode multiplexed Fourier‐based labels by Takahiro Kodama, Gabriella Cincotti

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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…In all test road scenarios, the proposed computer vision system for road vehicle identification achieved 95.8% accuracy and 0.3 ms processing time for 200 epochs. …”
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

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Secure fault-tolerant code for cloud storage by Peng-xu TAN, Yue CHEN, Ju-long LAN, Hong-yong JIA

“…A secure regenerating code,called SRCS was proposed to solve the security problem during the process of the fault-tolerant of storage systems,especially the storage system in an extremely open environment such as cloud computing and cloud storage.SRCS achieves the security of the encoding matrix in the regenerating code using the threshold public-key encryption with low redundancy and high efficiency.It is proven that SRCS is secure in the semi-adaptive model using decisional BDHE assumption.…”
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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments by Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad

“…The academic community has focused on various aspects of IMHM, such as prognostic maintenance, condition monitoring, estimation of remaining useful life (RUL), intelligent fault diagnosis (IFD), and architectures based on edge computing. Each of these categories holds its own significance in the context of industrial processes. …”
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Prediction of gasoline yield in a fluid catalytic cracking (FCC) riser using k-epsilon turbulence and 4-lump kinetic models: A computational fluid dynamics (CFD) approach by Muhammad Ahsan

“…Fluid catalytic cracking (FCC) is an essential process for the conversion of gas oil to gasoline. …”
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Emotion and Inspiration through Generative AI Art by Cynthia Calongne

“…Art inspires emotion. The process of creation invigorates the senses and keeps the researcher on fire. …”
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