Development of an Artificial Intelligent Lighting System for Protected Crops by Basil Mohammed Al-Hadithi, Cecilia E. García Cena, Raquel Cedazo León, Carlos Loor Loor

“…It also allows selecting the appropriate control strategy with a choice of selecting a predictive control or PD control system. Both algorithms make use of a mathematical model of the lamps which is responsible for transforming the signals generated by the drivers in digital signals that govern the operation of the implemented electronic system. …”
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On the Importance of Learning Non‐Local Dynamics for Stable Data‐Driven Climate Modeling: A 1D Gravity Wave‐QBO Testbed by Hamid A. Pahlavan, Pedram Hassanzadeh, M. Joan Alexander

“…Abstract Model instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…Models make it possible to predict or simulate a system’s behavior; in earthquake geotechnical engineering, they are required for the design of new constructions and for the analysis of those that exist. …”
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Advancing agriculture with machine learning: a new frontier in weed management by Mohammad MEHDIZADEH, Duraid K. A. AL-TAEY, Anahita OMIDI, Aljanabi Hadi Yasir ABBOOD, Shavan ASKAR, Soxibjon TOPILDIYEV, Harikumar PALLATHADKA, Renas Rajab ASAAD

“…Validation and refinement of these algorithms are needed for practical application.…”
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Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…The filtered features are then input into the FEDformer model, providing preliminary short-term and long-term sequence prediction results. Finally, a point-by-point forecasting method based on a tree model generates multi-point load prediction results by training multiple LightGBM models. …”
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Hip-spine syndrome: Diagnostic difficulties by A. A. Kargaltsev, M. A. Makarov, S. A. Makarov, A. M. Lila

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Designing and planning a bioethanol supply chain network under uncertainty using a data-driven robust optimization model under disjunctive uncertainty sets by Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli

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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

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Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

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A brief survey of line search methods for optimization problems by Audu Umar Omesa, Sulaiman Mohammed Ibrahim, Rabiu Bashir Yunus, Issam A.R. Moghrabi, Muhammad Y. Waziri, Aceng Sambas

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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review by Vishal Gaurav, Chander Grover, Mehul Tyagi, Suman Saurabh

“…Materials and Methods: A literature review on AI in nail disorders was conducted via PubMed and Google Scholar, yielding relevant studies. AI algorithms, particularly deep convolutional neural networks (CNNs), have demonstrated high sensitivity and specificity in interpreting nail images, aiding differential diagnosis as well as enhancing the efficiency of diagnostic processes in a busy clinical setting. …”
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Intelligent technology for construction of tutoring integrated expert systems: new aspects by Galina V. Rybina

“…The main aim of this paper is to acquaint readers of the journal “Open Education” with the accumulated experience of construction and practical use in the educational process of Cybernetics Department of the National Research Nuclear University MEPhI of a special class of intelligent tutoring systems, based on the architectures of tutoring integrated expert systems. …”
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A novel edge-feature attention fusion framework for underwater image enhancement by Shuai Shen, Haoyi Wang, Weitao Chen, Pingkang Wang, Qianyong Liang, Xuwen Qin, Xuwen Qin

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Design of a clinical balance tool for fall risk assessments: A development and usability study. by Jennifer Hornung Garvin, Virginia M Yazzie, Natalie A Katsuyama, Truman Rudloff, Lise C Worthen-Chaudhari, Ajit M W Chaudhari

“…The QuPI supplemented and facilitated the use of standard algorithms for fall risk assessment. Greater education of the entire care team regarding evidence-based fall risk assessment will promote adherence to guidelines and fall prevention.…”
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Web-based digital twin online laboratories: Methodologies and implementation [version 3; peer review: 2 approved, 1 approved with reservations] by Zhongcheng Lei, Wenshan Hu, Hong Zhou, Guo-Ping Liu

“…Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. …”
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

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Web-based digital twin online laboratories: Methodologies and implementation [version 2; peer review: 1 approved, 2 approved with reservations] by Zhongcheng Lei, Wenshan Hu, Hong Zhou, Guo-Ping Liu

“…Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. …”
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GUIDELINES ON ARTERIAL HYPERTENSION MANAGEMENT OF THE EUROPEAN SOCIETY OF CARDIOLOGY AND EUROPEAN SOCIETY OF HYPERTENSION 2018: WHAT’S NEW? by A. A. Klimenko, D. A. Anichkov, N. A. Demidova

“…Special emphasis is made on evaluation of patient’s treatment adherence as the main reason for insufficient BP control, as well as on increased role of nurses and pharmacists in education, monitoring, and support of patients with AH being an important part of general strategy of BP control.…”
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Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

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