Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory by Weijing Liang, Ye Xue

“…The findings offer valuable guidance for decision-makers and researchers, enhancing the understanding of resilience evolution and promoting sustainable community development.…”
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A Comprehensive Review of the Diagnostics for Pediatric Tuberculosis Based on Assay Time, Ease of Operation, and Performance by Soumya Basu, Subhra Chakraborty

“…Gaps in the existing diagnostic methods, algorithms, and operational costs were also reviewed. …”
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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study by Soo Hwan Park, Roshini Pinto-Powell, Thomas Thesen, Alexander Lindqwister, Joshua Levy, Rachael Chacko, Devina Gonzalez, Connor Bridges, Adam Schwendt, Travis Byrum, Justin Fong, Shahin Shahsavari, Saeed Hassanpour

“…This study examined the effectiveness of a pilot Digital Health Scholars (DHS) non-credit enrichment elective that paralleled the Dartmouth Geisel School of Medicine’s first-year preclinical curriculum with a focus on introducing AI algorithms and their applications in the concurrently occurring systems-blocks. …”
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Mobile based deep CNN model for maize leaf disease detection and classification by Getnet Tigabie Askale, Achenef Behulu Yibel, Belayneh Matebie Taye, Gashaw Desalegn Wubneh

“…Early identification of maize leaf disease through easily accessible tool is required to increase the yield of maize. Recently, researchers have attempted to detect and classify maize leaf diseases using Deep Learning algorithms. …”
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The AI Betrayal of Social Emotions by Pedro C. Marijuán, Plamen Simeonov, Jorge Navarro

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The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…These materials will be useful for project managers, developers of AI solutions, as well as researchers studying automation of management processes.…”
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RRT-guided experience generation for reinforcement learning in autonomous lane keeping by Tamás Bécsi

“…To address this challenge, researchers have explored combining RL with sampling-based exploration methods such as Rapidly-exploring Random Trees to aid in exploration. …”
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Ekyeyo Mobile Application by Nkuba, Blair, Kansiime, Daniel

“…The app incorporates advanced search algorithms, tailored job recommendations, and streamlined candidate screening to improve job-matching accuracy. …”
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Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning by Danish Javed, Noor Zaman Zaman, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor R. Kebande

“…Most of the current bot detection methods rely on black-box algorithms, raising concerns about their transparency and practical usability. …”
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Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus by Lulu Li, Xiaofan Guo, Shouming Wang

“…Subsequently, we applied GeNorm, NormFinder, and BestKeeper algorithms to evaluate the expression stability of these 11 reference genes. …”
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Leveraging AI for Resilient Urban Disaster Management in India by Naikade Kshtij, Dharangutti Yogesh, Hangirgekar Ramni Sachin

“…A comparative study of India's approach vis-à-vis Singapore's integrated AI environmental monitoring system, which reduced the severity of disasters by 45% because of early detection, brings to light serious implementation gaps in Indian cities. In this study, researchers showed that the use of AI algorithms together with monitoring environmental parameters would enhance the processes of disaster detection and management. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…Semantic parsing is a fundamental problem in natural language understanding area. In recent years, researchers have made tremendous progress in this field. …”
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An Approach using Skeleton-based Representations and Neural Networks for Yoga Pose Recognition by Nguyen Hai Thanh, Truong Nguyen Nhat, Pham Linh Thuy Thi, Pham Ngoc Huynh

“…Experimental results show that the proposed algorithms are entirely suitable for the classification task when achieving good results on different metrics such as Precision, Recall, F1-score, and Accuracy.…”
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An Overview of Artificial Intelligence and Medical Imaging Technologies by Furkan Atlan, İhsan Pençe

“…For this reason, automated diagnostic systems are created using artificial intelligence, and these systems are improving gradually, owing to the evolution of several technologies and algorithms. This study aimed to provide information on the use of artificial intelligence in medical imaging with due consideration of all factors and create a base infrastructure for researchers in this field. …”
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Enhancing malignant transformation predictions in oral potentially malignant disorders: A novel machine learning framework using real-world data by Jing Wen Li, Meng Jing Zhang, Ya Fang Zhou, John Adeoye, Jing Ya Jane Pu, Peter Thomson, Colman Patrick McGrath, Dian Zhang, Li Wu Zheng

“…Using data from 1,094 patients across three institutions (2004–2023), the researchers compared traditional statistical methods, including a Cox proportional hazards (Cox-PH) nomogram, with machine learning (ML) algorithms. …”
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Community Vitality in Dynamic Temporal Networks by Fu Cai, Li Min, Zou Deqing, Qu Shuyan, Han Lansheng, James J. Park

“…Current researches on temporal networks mainly tend to detect community structure. …”
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A Review of Modeling and Control Techniques for Unmanned Aerial Vehicles by Elisabeth Andarge Gedefaw, Nardos Belay Abera, Chala Merga Abdissa

“…The findings highlight that hybrid control strategies incorporating adaptive mechanisms, learning‐based algorithms, and quaternion‐based modeling offer significant potential for enhancing autonomy and control. …”
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A 3D FEM Mesoscale Numerical Analysis of Concrete Tensile Strength Behaviour by Chao Guo, Zhengran Lu

“…Aggregates were generated based on dividing the existing geometrical element algorithms to randomize arbitrary spheres. Simultaneously, randomizations of the maximum aggregate size and uniform distributions of aggregate particles were also considered. …”
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From Words to Ratings: Machine Learning and NLP for Wine Reviews by Iliana Ilieva, Margarita Terziyska, Teofana Dimitrova

“…These findings can be applied by a wide range of stakeholders—researchers, producers, retailers, and marketing specialists.…”
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Decoding pixels: A modular software prototype for cognitive image-based diagnostics of PV plants by Tsanakas John Ioannis A., Marechal Philippe

“…In this paper, we introduce a software prototype, evolved from an innovative diagnostics framework researched and developed by CEA-INES over the last years, which integrates aIRT imagery with deep learning-based algorithms and physical/electrical modeling. …”
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