Knowledge-Based Expert System for Orthopedic Injury Management With Integrated Transcutaneous Electrical Nerve Simulation Therapy by Haneen Banjar, Shahad Almalki, Lama Almehmadi, Amjad Alshahrani, Ali Chaudhary, Reda Ghoname

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AI-based prediction of traffic crash severity for improving road safety and transportation efficiency by Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda

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Spatial-Temporal Correlative Fault Detection in Wireless Sensor Networks by Zhiping Kang, Honglin Yu, Qingyu Xiong, Haibo Hu

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Exploring the impacts of woodland management on ecosystem services – a deliberative method by Antonia Eastwood, Altea Lorenzo-Arribas, Anke Fischer, Laura MacLean, Alice Hague, Alba Juarez-Bourke, Scott Herrett, Anja Byg, Keith Marshall, Robin Pakeman, Gillian Donaldson-Selby, Alison Hester

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Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues by A. K. M. Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T. S. Saleena, Morshed Alam, Md. Rabiul Islam, Foyez Ahmmed, Md. Jamal Hossain

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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…Additionally, the proposed model’s versatility allows it to handle diverse data types, achieve better generalization and lower computational time. The model offers a high level of interpretability, which is crucial for medical professionals to understand and trust the decision-making process of the system. …”
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

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HUMAn, a Real-Time Evolutive Patient Model for Major Incident Simulation: Development and Validation Study by Maxence Laurent, Arnaud Jaccard, Laurent Suppan, Elio Erriquez, Xavier Good, Eric Golay, Dominique Jaccard, Mélanie Suppan

“…This model should now be included in computer-based simulations and its impact on the teaching of major incident management assessed through randomized trials.…”
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Autonomous Driving Road Environment Recognition with Multiscale Object Detection by Jeny J.R.V., Divya Phulari, Varsha Kolanu, Mrunalini Anantha, Irfan S.K.M.

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Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach by Ghazala Bilquise, Khaled Shaalan, Manar AlKhatib

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Prediction and prevention of crowd-crush accidents using crowd-density simulation based on unity engine by Chul-Ho Choi, Sung-Wook Park, Jun Park, Jong-Hoon Kim, Jin-Seong Kim, Hyun-Sung Yang, Bok-Eun Lee, Se-Hoon Jung, Chun-Bo Sim

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Blockchain-Based Smart Monitoring Framework for Defense Industry by Abdullah Alqahtani, Shtwai Alsubai, Abed Alanazi, Munish Bhatia

“…Internet of Things (IoT) technology has been widely adopted across various industries for remote decision-making, monitoring, and surveillance. The proliferation of IoT applications in sensitive sectors, such as national defense and security, has been driven by the ability to obtain in-depth information on ubiquitous occurrences. …”
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Explainability of a Deep Learning-Based Classification Model for Antineutrophil Cytoplasmic Autoantibody–Associated Glomerulonephritis by Maria A.C. Wester Trejo, Maryam Sadeghi, Shivam Singh, Naghmeh Mahmoodian, Samir Sharifli, Zdenka Hruskova, Vladimír Tesař, Xavier Puéchal, Jan Anthonie Bruijn, Georg Göbel, Ingeborg M. Bajema, Andreas Kronbichler

“…These maps were analyzed by pathologists to compare the decision-making criteria of humans and the DL model and assess the impact of different training settings. …”
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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

“…BackgroundComputer-aided histopathological image analysis is increasingly used for image evaluation and decision-making in cancer patients. …”
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Appropriateness of NHS 111 Wales outcomes—using the Call Prioritisation Streaming System: a RAND/UCLA modified Delphi method by Craig Brown, Conrad Fivaz, Rebecca Malin, Mike Brady, Rhiannon Elizabeth Roynon, Peter Noblett

“…Call handlers use the newly created and implemented Call Prioritisation Streaming System (CPSS) to assess patients. CPSS is a sophisticated Computer Decision Support Software designed to enhance decision-making processes. …”
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Towards transparency in AI: Explainable bird species image classification for ecological research by Samparthi V.S. Kumar, Hari Kishan Kondaveeti

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Validation of Replicable Pipeline 3D Surface Reconstruction for Patient-Specific Abdominal Aortic Lumen Diagnostics by Edoardo Ugolini, Giorgio La Civita, Moad Al Aidroos, Samuele Salti, Giuseppe Lisanti, Emanuele Ghedini, Gianluca Faggioli, Mauro Gargiulo, Giovanni Rossi

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Expert system for safe application of pesticides to control insect pests in orchard by WU Jia-lun, GAO Song, LI Li-qing

“…Accord to the dialogue of user-computer, user can obtain some solutions for their problems, such as identifying of insect pests, decision making for using pesticide to control insect pest, forecasting the development of insect pests on orchard and so on. …”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns by Danial Hooshyar, Yeongwook Yang

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