Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…These limitations hinder their ability to provide actionable insights for resource optimization and environmental protection.MethodsTo tackle these difficulties, this research puts forward a new deep-learning-based architecture for time-series prediction that is customized for precise field crop protection. …”
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Optimization of rice husk ash, Moringa oleifera powder, biochar, and okra seed powder for turbidity and color removal in the Turag and Buriganga Rivers using response surface metho... by Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Amimul Ahsan, Md. Rezaul Karim, Fuad Bin Nazrul, Chowdhury Sakif Ahbab, Md. Wali Ullah Riman, Md. Tajbiul Haque Auni, Md. Reduan Rahman

“…RSM regression models highlighted significant interaction effects between dosage and duration, emphasizing the importance of source-specific treatment strategies. These findings establish natural coagulants as cost-effective, sustainable alternatives to conventional treatment methods. …”
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Are treatment plans optimized on the basis of acuros XB dose calculation robust against anatomic changes during online adaptive radiotherapy for lung cancer regarding dose homogene... by Khouya Aymane, Santiago Alina, Ringbaek Toke, Guberina Nika, Guberina Maja, Gauler Thomas, Lübcke Wolfgang, Zylka Waldemar, Pöttgen Christoph, Stuschke Martin

“…Material and methods IMRT or VMAT plans from patients with locally advanced lung cancer from a prospective registry cohort were analysed, who received definitive radiotherapy in surface-guided inspiratory breath-hold on the Ethos™ closed-bore linac, equipped with the HyperSight™ cone beam CT (CBCT). …”
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An overview of distributed economic dispatch of microgrids: advances and challenges by Lei Sun, Wenjing An, Yangkai Chen, Peifeng Zhao, Derui Ding

“…Traditional centralized ED methods are not always able to meet the ED demands of microgrids that mostly use distributed power sources. …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…To demonstrate the effectiveness of the proposed approach, the results obtained from applying the proposed algorithm are compared with the results from analyzing the problem using GAMS software and the multi-objective seagull optimization algorithm (MOSOA). The proposed method enhances flexibility and ultimately increases system stability while maintaining diversity in energy sources. …”
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Quantitative Analysis of Isoflavones from <i>Fabaceae</i> Species and Their Chemopreventive Potential on Breast Cancer Cells by Wojciech Paździora, Karolina Grabowska, Paweł Zagrodzki, Paweł Paśko, Ewelina Prochownik, Irma Podolak, Agnieszka Galanty

“…The optimal extraction method was a 60 min reflux with 50% methanol and a plant material-to-solvent ratio of 1:125. …”
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The calculation algorithm of oil and gas production enterprise energy efficiency indicators by A. Yu. Arestova, V. N. Ulyanov, M. Yu. Frolov

“…Then, the power and electricity balance calculation algorithm should be designed to evaluate the share of the technological processes’ consumption, analyze losses, and determine the source of imbalance. The assessment of energy efficiency indicators will require adaptation of the parameter’s identification method for rotating electrical machines in operating modes. …”
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Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect by Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi

“…The transformers and recurrent neural networks (RNNs) are DL approaches that have accomplished extraordinary results in many NLP tasks since they do not trust huge knowledge sources or handcrafted features. Thus, this study introduces a novel Northern Goshawk Optimization with Artificial Intelligence for Arabic Named Entity Recognition (NGOAI-ANER) technique in Moroccan Dialect. …”
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Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…The improved firefly optimization-based random forest (IFA-RF) is applied in practical engineering projects, and the results validate that this method can reliably and accurately predict the compaction quality of earth-rock dam construction in real time (R = 0.90107, MSE = 0.0000602, <i>p</i> = 0.000) and thereby guide remedial measures to ensure engineering safety and quality compliance.…”
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FIRM COMPETITIVENESS OF MANUFACTURING INDUSTRY by D. Doncheva

“…Biserial Correlation and Optimal Binning are used as a related method in this study for assessing firm competitiveness.…”
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Two-Stage Locating and Capacity Optimization Model for the Ultra-High-Voltage DC Receiving End Considering Carbon Emission Trading and Renewable Energy Time-Series Output Reconstru... by Lang Zhao, Zhidong Wang, Hao Sheng, Yizheng Li, Tianqi Zhang, Yao Wang, Haifeng Yu

“…In addition, to address the problem that the probabilistic constraints of the scheduling model are difficult to solve, the discrete step-size transformation and convolution sequence operation methods are proposed to transform the chance-constrained planning into mixed-integer linear planning for solving. …”
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Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks by Ehsan Kharati

“…This model minimizes the ratio of the total maximum bandwidth to the available bandwidth in network&#039;s edges and we use the dual method to solve this model. We also use the KarushâKuhnâTucker conditions (KKT) to calculate a lower bound and find the optimal solution and point in optimization model. …”
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DETERMINING THE OPTIMAL SETTLEMENT LOCATING OF ANCIENT SITES USING TOPSIS MULTI-CRITERIA DECISION MODEL: A CASE STUDY: ESTABLISHMENTS IN MOUNTAINOUS AREAS OF NORTH KHORASAN, NORTHE... by Mohsen Heydari DASTENAEI, Mohsen DANA

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CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability by Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista

“…It is therefore of tremendous interest to develop advanced methods for identifying hERG-active compounds in the early stages of drug development, as well as for proposing redesigned compounds with reduced hERG liability and preserved primary pharmacology. …”
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Long Trip Charging Planning of Battery Electric Vehicle Considering Vehicle Waiting Time Forecast at Fast Charging Stations: A Mixed-Integer Dynamic Programming Approach by Pradeep Krishna Bhat, Zhouquan Wu, Bo Chen

“…Monte Carlo simulation generates the waiting time at the charging station based on the probability distributions and station configuration. The presented optimal charging plan method is validated by multiple test cases. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…We also elaborate on the optimization methods of algorithms for different data sources. …”
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Curved Holographic Augmented Reality Near-Eye Display System Based on Freeform Holographic Optical Element with Extended Field of View by Hong Xu, Yuan Xu, Changyu Wang, Juan Liu

“…The system includes a display source and a HOE with curved substrate. We analyze the system by exploiting the diffraction theory between plane and curved surface, and a layered and weighted FOV optimization method using particle swarm optimization algorithm is proposed to realize the optimization of the phase of freeform HOE. …”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

“…To enhance the optimization of the BP neural network’s hyperparameters, five distinct optimization algorithms were employed: the Sine Cosine Optimization Algorithm (SCA), Snake Optimization Algorithm (SO), Pelican Optimization Algorithm (POA), African Vulture Optimization Algorithm (AVOA), and Chameleon Optimization Algorithm (CSA). …”
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The impact of the technical decisions made in the operation of energy systems in Tashkent city by Y. N. Zvonareva, R. V. Akhmetova, K. I. Tursunov, I. R. Shorohov

“…Development and testing at a real facility of an integrated approach to the modernization of heat supply systems, taking into account the introduction of modern energy-saving technologies to reduce costs and optimize the processes of generation and consumption of thermal energy.METHODS. …”
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