Review on Key Technologies for Autonomous Navigation in Field Agricultural Machinery by Hongxuan Wu, Xinzhong Wang, Xuegeng Chen, Yafei Zhang, Yaowen Zhang

“…Future research is expected to focus on enhancing multi-modal perception under occlusion and variable lighting conditions, developing terrain-aware path planning algorithms that adapt to irregular field boundaries and elevation changes and designing robust control strategies that integrate model-based and learning-based approaches to manage disturbances and non-linearity. …”
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Assessment of Corporate Financial Flood Risks Due to Property Damage and Business Interruption Loss by Masahiro Abe, Peter Adriaens

“…The comparison demonstrates reasonable results with the modeled estimates, while also highlights the importance of carefully interpreting and selecting regional property damage curves and business interruption duration data. …”
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A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT by Zhong Li, Huimin Zhuang

“…Meanwhile, compared with fully supervised learning and other popular address resolution protocol detection methods, MIS also shows the best performance.…”
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Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment by Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci

“…By leveraging advanced algorithms, AI enhances diagnostic accuracy, reduces assessment variability and streamlines histological workflows in clinical settings. …”
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The role of artificial intelligence in enhancing disaster preparedness and trauma care by Mohamad Sorani

“…Furthermore, ethical considerations such as data privacy, algorithmic bias, and equitable access are crucial to ensuring that AI-driven solutions are implemented responsibly and inclusively.This review also explores future directions for AI, including the development of sophisticated predictive models, autonomous systems for high-risk tasks, immersive training programs utilizing virtual and augmented reality, and global collaboration aimed at standardizing AI tools and practices. …”
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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

“…Additionally, the execution speed of the algorithms was assessed, providing insight into their performance efficiency. …”
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Osteoarthritis: management strategies depending on the location of lesions by N. A. Shostak, N. G. Pravduk, M. O. Anischenko, M. S. Dzhauari

“…OA is a complex disease affecting not only cartilage, but also intraarticular and periarticular tissues. Together, these changes compromise joint function and cause chronic pain. …”
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Automated robotic-assisted patient positioning method and dosimetric impact analysis for boron neutron capture therapy by Jiang Chen, Yi-Chiao Teng, Diyun Shu, Qiuping Gong, Qiaolin Xie, Yuan-Hao Liu

“…Through a systematic workflow, the robotic arm algorithmically calculates and executes the patient’s positioning based on the treatment plan, thus enhancing the accuracy and efficacy of the treatment. …”
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SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

“…It also scored a fast computation time, averaging 0.3384 seconds. …”
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Method for Selecting Pulsed Signals by Their Duration in Fading Channels by M. V. Buhaiov, S. V. Zakirov

“…In sophisticated electronic environment, it is also may be random interference in signal processing channel, which leads to the occurrence of false pulses with random durations. …”
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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…By integrating deep learning algorithms, the study seeks to improve the objectivity and accuracy of evaluations, facilitate personalized feedback, and foster innovation in teaching methodologies. …”
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Real-Time Motor Control Using a Raspberry Pi, ROS, and CANopen over EtherCAT, with Application to a Semi-Active Prosthetic Ankle by Kieran M. Nichols, Rebecca A. Roembke, Peter G. Adamczyk

“…CANopen over EtherCAT was implemented directly on the Raspberry Pi to synchronize real-time communication between it and the motor controllers. Kinematic algorithms for setting ankle angles of zero to ten degrees in any combination of sagittal and frontal angles were implemented. …”
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Development of standard fuel models in boreal forests of Northeast China through calibration and validation. by Longyan Cai, Hong S He, Zhiwei Wu, Benard L Lewis, Yu Liang

“…Seven vegetation types were combined into three fuel models according to potential fire behaviors which were clustered using Euclidean distance algorithms. Fuel model parameter sensitivity was analyzed by the Morris screening method. …”
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Handwriting Difficulties: A Review of Recent Advances in the Identification and Intervention by Suatmi Murnani, Kazuharu Hashitsume, Tomohiko Igasaki

“…Key techniques examined include the use of spatiotemporal signals, image data, feature-extraction methods, and algorithmic classification. We also explored key experimental design elements and assistive interventions aimed at improving handwriting performance. …”
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Estimate Programmatic Effort using the Traditional COCOMO Model and Neural Networks by Jamal Al-Din Sayed Majeed, Isra Majeed Qabaa

“…In this paper we used the Intermediate COCOMO model which is categorized as the best of traditional Techniques in Algorithmic effort estimation methods. also we used an Artificial approaches which is presented in (FFNN,CNN,ENN,RBFN) because of the Ability of ANN(Artificial Neural Network) to  model a  complex  set  of  relationship  between  the  dependent  variable (effort)  and  the  independent  variables  (cost  drivers)which makes  it  as  a  potential  tool    for  estimation. …”
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A new shape clustered leg sizing system for mass customization fit of compression garments by Qian Mao, Rong Liu, Jingyun Lv, Rama Gheerawo

“…The developed leg shape-based sizing matrix also identified groups of highly correlated leg shapes, facilitating rapid dimensional transformation across shapes and thereby improving fitting efficiency in the mass customization of compression garments.…”
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Artificial neural networks-based multi-objective optimization of immersion cooling battery thermal management system using Hammersley sampling method by Muhammed Donmez, Mehmet Ihsan Karamangil

“…Multi-objective optimization, using ANN-based multi objective genetic algorithms, is conducted on a 16S1P configuration at 4C discharge and 0.008 kg/s. …”
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Intangible Capital: Digital Colors in Romanesque Cloisters by Adriana Rossi, Sara Gonizzi Barsanti, Silvia Bertacchi

“…They organize proprietary ontologies, or syntagmatic lines, to be entrusted to the management of computer algorithms. The syncretic culture that characterized the medieval era allowed the ability to mediate science and faith to be entrusted to the mind of the praying monk alone in every canonical hour. …”
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OVERVIEW OF METHODS FOR IMPROVING THE VISUAL QUALITY OF IMAGES AND VIDEOS IN ADVERSE WEATHER CONDITIONS by P. A. Lyakhov, A. S. Ionisyan, V. V. Liutova, A. R. Orazaev

“…Conclusions are drawn about each of the types of algorithms.Conclusion The article explored various methods to improve the visual quality of images and videos in adverse weather conditions. …”
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Analyzing the interaction of artificial intelligence and the formation of architectural design ideas by Negar Zargaran khoozany, Leila Zare

“…This article not only deals with technological developments in the field of architecture, but also emphasizes the effective connection between artificial intelligence and architects ideation.…”
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