Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA by S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi

“…Dynamic and flexible computing resources are offered by cloud computing (CC), which has gained popularity as a computing technology. Efficient task scheduling (TS) plays a critical role in CC by optimizing the distribution of tasks across available resources to achieve maximum performance. …”
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Providing a Roadmap for the Adaption of Agricultural Sector to Water Scarcity Conditions (Case Study: Selected Crops of Tajan Basin, Iran) by H. Fouladi, H. Amirnejad, S. Shirzadi Laskookalayeh

“…For this reason, the void of using an efficient model that can provide all economic and environmental aspects at the same time was completely felt. …”
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Damage response and influencing factors of plastic damage caused by hydraulic fracturing of shale by Zhonghui SHEN, Lei ZHOU, Dong LIN, Zhiguo GUO, Ziyi WANG, Xijian LI

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Design of circularly polarized phosphorescence materials guided by transfer learning by Xu Liu, Yihan Zhang, Yifan Xie, Ledu Wang, Liyu Gan, Jialei Li, Jiahe Li, Hongli Zhang, Linjiang Chen, Weiwei Shang, Jun Jiang, Gang Zou

“…We demonstrate the significant advantages of transfer learning with limited chemical data, and precisely fabricate films with high g lum (1.86), narrow full-width at half-maximum (49 nm) and customized circularly polarized phosphorescent performance with targeted spectral position. …”
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Non-destructive estimation of needle leaf chlorophyll and water contents in Chinese fir seedlings based on hyperspectral reflectance spectra by Dong Xing, Penghui Sun, Yulin Wang, Mei Jiang, Siyu Miao, Wei Liu, Huahong Huang, Erpei Lin

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Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications by Rafael Perez Martinez, Stephen Boyd, Srabanti Chowdhury

“…This approach enhances our comprehension of the trade-off space, facilitating more informed decision-making. Furthermore, this method is general across different applications. …”
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Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data by Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa, Yoshitaka Matsushita, Keitaro Sodeyama, Tadakatsu Ohkubo, Hiroshi Shinotsuka, Kenji Nagata

“…We then applied Bayesian linear regression to the maximum energy product [Formula: see text], using the extracted peak features as the explanatory variable. …”
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Algorithm Design for an Online Berth Allocation Problem by Cong Chen, Fanxin Wang, Jiayin Pan, Lang Xu, Hongming Gao

“…In this paper, we investigate an online berth allocation problem, where vessels arrive one by one and their information is revealed upon arrival. Our objective is to design online algorithms to minimize the maximum load of all berths (makespan). …”
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Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

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Model-Based Control Allocation During State Transitions of a Variable Recruitment Fluidic Artificial Muscle Bundle by Jeong Yong Kim, Matthew Bryant

“…As a result, the tracking performance of the proposed control scheme is shown to significantly decrease the integrated absolute and maximum errors.…”
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Four-parameter beta mixed models with survey and sentinel 2A satellite data for predicting paddy productivity by Dian Kusumaningrum, Hari Wijayanto, Anang Kurnia, Khairil Anwar Notodiputro, Muhlis Ardiansyah, Islam MD Parvez

“…By enhancing satellite technology, future efforts in paddy productivity prediction can achieve higher efficiency and accuracy, contributing to informed decision-making in agricultural management.…”
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Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV tes... by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

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Challenges of Social Trust in Disaster Management Focusing on COVID-19 in Iran: Recommendations for Gaining it Again by Hamid Reza khankeh, Mehrdad Farrokhi, Mohammadjavad Hosseinabadi-farahani, Mohammad Saatchi, Sina Ahmadi, Juliet Roudini, Amin Rahmatali Khazaee, Mariye Jenabi Ghods, Elham Sepahvand, Maryam Ranjbar, Taleb Badri, Mohammad Pourebrahimi

“…The recommendations had three categories: Management improvement, efficient risk communication, and experience-based interventions.  …”
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Mapping habitat suitability and connectivity for Himalayan brown bears in Pakistan: Implications for conservation management by Shoaib Hameed, Shakeel Ahmad, Jaffar Ud Din, Hussain Ali, Muhammad Younas, Muhammad Kabir, Niloufar Lorestani, Sarwat Jahan, Muhammad Ali Nawaz

“…The main predictors for brown bear habitat suitability were the annual temperature range, the maximum temperature of the warmest month, and precipitation seasonality. …”
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Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI by Adarsha Bhattarai, Chathumi Samaraweera, Mariano Uberti, Aditya N. Bade, Yutong Liu, Dongming Peng

“…However, CEST MRI data acquisition requires prolonged scanning times, as data need to be collected at multiple frequency offsets to capture necessary information for accurate analysis of biological compounds. …”
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Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images by Zhong-Han Zhuang, Hui Ping Tsai, Chung-I Chen, Ming-Der Yang

“…Additionally, minimum redundancy-maximum relevance analysis was utilized to assess the mutual information of features for regression analysis using Polynomial Regression (PR), Ridge Regression, Decision Tree Regression, and Random Forest Regression (RFR) models. …”
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Influence of trap modifications and environmental predictors on capture success of southern flying squirrels by Christopher N. Jacques, James S. Zweep, Mary E. Scheihing, Will T. Rechkemmer, Sean E. Jenkins, Robert W. Klaver, Shelli A. Dubay

“…Probability of capture success decreased 0.10/1° C increase in daily maximum temperature and by 0.09/unit increase (km/hr) in wind speed. …”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

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Specialized Large Language Model Outperforms Neurologists at Complex Diagnosis in Blinded Case-Based Evaluation by Sami Barrit, Nathan Torcida, Aurelien Mazeraud, Sebastien Boulogne, Jeanne Benoit, Timothée Carette, Thibault Carron, Bertil Delsaut, Eva Diab, Hugo Kermorvant, Adil Maarouf, Sofia Maldonado Slootjes, Sylvain Redon, Alexis Robin, Sofiene Hadidane, Vincent Harlay, Vito Tota, Tanguy Madec, Alexandre Niset, Mejdeddine Al Barajraji, Joseph R. Madsen, Salim El Hadwe, Nicolas Massager, Stanislas Lagarde, Romain Carron

“…Participants formulated differential diagnoses based on initial presentations, followed by definitive diagnoses after receiving conclusive clinical information. Two senior academic neurologists blindly evaluated all responses, while an independent investigator assessed the verifiability of AI-generated information. …”
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Application of multi-objective neural network algorithm in industrial polymerization reactors for reducing energy cost and maximising productivity by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Ashraf Azmi, Zainuddin Abd Manan, Jeng Shiun Lim, Hong An Er, Siti Nor Azreen Ahmad Termizi

“…It is inspired by the structure and information-processing capabilities of biological neural networks. …”
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