Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping by Mashoukur Rahaman, Jane Southworth, Yixin Wen, David Keellings

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Evaluation of production line expansion efficiency using computer simulation by Poloczek Roksana, Oleksiak Beata

“…Based on the research and analyses conducted, the article demonstrates that computer simulation is an effective tool supporting strategic and operational decision-making in production management, particularly in the context of expanding production infrastructure.…”
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Analyzing Fairness of Computer Vision and Natural Language Processing Models by Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb

“…Machine learning (ML) algorithms play a critical role in decision-making across various domains, such as healthcare, finance, education, and law enforcement. …”
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FIST GEOINFORMATION SYSTEM MODEL USING FOG COMPUTING IN DESTABILIZATION by V. V. Gryzunov

“…Geographic information systems are becoming an integral part of almost all information and decision-making systems. The research methods are based on a deterministic or stochastic model of destabilization, but the geographic information system is characterized by a non-stochastic model. …”
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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning by Zhenhai Gao, Dayu Liu, Chengyuan Zheng

“…Meanwhile, the road segment hazard classification module, utilizing both historical traffic data and real-time perception information, adopts a hazard evaluation model to classify road conditions automatically, providing real-time feedback to guide vehicle decision-making. Furthermore, an autonomous driving cloud control platform is designed, augmenting decision-making capabilities through centralized computing resources, enabling large-scale data analysis, and facilitating collaborative optimization. …”
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Predicting and grading liver injury in the absence of computed tomographic imaging by Mario Victor Newton, S. G. Subramanyam

“…This would predict and grade the liver injury, helping in early decision-making and avoid wasting the golden hour in trauma.…”
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The quality appraisal of massive open online courses using decision support model by Wei Zhong Wang, Yu Chen, Zhengyan Yang, Yan Hu, Muhammet Deveci, Hana Tomášková

“…Moreover, the quality assessment of MOOCs can be acknowledged as an uncertain decision-making problem with multi-attribute and multiple decision-makers. …”
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Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis by Mostafa Alizade-Harakiyan, Amin Khodaei, Ali Yousefi, Hamed Zamani, Asghar Mesbahi

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Evaluating the usability and utility of a spatial decision support system for pollinator ecology by Lily Houtman, Anthony C. Robinson, Dave McLaughlin, Christina M. Grozinger

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Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications by Filippo Pesapane, Chiara Trentin, Marta Montesano, Federica Ferrari, Luca Nicosia, Anna Rotili, Silvia Penco, Mariagiorgia Farina, Irene Marinucci, Francesca Abbate, Lorenza Meneghetti, Anna Bozzini, Antuono Latronico, Alessandro Liguori, Giuseppe Carrafiello, Enrico Cassano

“…Nowadays, the main use of AI in breast imaging is in decision support in mammography, where it facilitates human decision-making as opposed to replacing radiologists. …”
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Towards a knowledge-based decision support system to foster the return to work of wheelchair users by Daniele Spoladore, Luca Negri, Sara Arlati, Atieh Mahroo, Margherita Fossati, Emilia Biffi, Angelo Davalli, Alberto Trombetta, Marco Sacco

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Assessing the Environmental Impact of Plastic Waste using Life Cycle Assessment by Butyrin Andrey Y., Shnain Ammar Hameed, Keerthi Reddy G., Singh Takveer, Pandey Alok Kumar, Singh Navdeep, Jagga Megha, Sharma Prashant, Venkatraman Akila

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Predicting soybean seed germination using the tetrazolium test and computer intelligence by Marcio Alves Fernandes, Izabela Cristina de Oliveira, Marcio Dias Pereira, Breno Zaratin Alves, Alan Mario Zuffo, Charline Zaratin Alves

“…This study suggests that the integration of computational intelligence techniques with the tetrazolium test can make the assessment of soybean seed quality more efficient and contribute to fast and efficient decision making in agriculture.…”
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A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scansCentral MessagePe... by Aniket Venkatesh, MS, Fateme Esmailie, PhD, Noah Tregobov, BSc, Hoda Hatoum, PhD, Breandan Yeats, PhD, Huang Chen, PhD, Beom Jun Lee, MS, Philipp Ruile, MD, Franz-Josef Neumann, MD, Philipp Blanke, MD, Jonathon Leipsic, MD, Gaurav Gulsin, MD, Vinod Thourani, MD, David Meier, MD, Lakshmi Prasad Dasi, PhD, Stephanie L. Sellers, PhD

“…Such a tool may help guide decision-making and understanding of prevention of postprocedural thrombosis.…”
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Aggregating Contextual Information for Multi-Criteria Online Music Recommendations by Jieqi Liu

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Developing point-of-care tools to inform decisions regarding prescription medication use in pregnancy by Animesh Kumar Paul, Sunil Vasu Kalmady, Russell Greiner, Padma Kaul

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Decentralized knowledge assessment by Kai Sun, Liyi Zhou, Yike Guo

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Multimodal AI for Home Wound Patient Referral Decisions From Images With Specialist Annotations by Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, Diane Strong

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From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management by Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal, Jaspreet Kumar, Naghmeh Asadimanesh, Surbhi Dadwal, Vibhor Ahluwalia, Sidhartha Gautam Senapati, Shivaram P. Arunachalam

“…Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency and decision-making, particularly in managing VVs through improved risk factor identification, diagnosis, and treatment planning. …”
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An Assessment of the Effectiveness of Preoperative İmaging Modalities (MRI, CT, and 18F-FDG PET/CT) in Determining the Extent of Disease Spread in Epithelial Ovarian–Tubal–Peritone... by Hülya Kandemir, Hamdullah Sözen, Merve Gülbiz Kartal, Zeynep Gözde Özkan, Samet Topuz, Mehmet Yavuz Salihoğlu

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