Smart city planning focused on the US cities in need of policing innovations and public health safety technologies and strategies by Delores Springs

“…As a result, law enforcement agencies can effectively communicate to potential criminals that their actions will not go unnoticed. They may achieve significant success in improving the overall quality of life of residents in such areas. …”
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“intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles by Souvik Pore, Kunal Roy

“…Their small size allows these particles to penetrate biological systems and interact with intracellular components, which may pose significant health risks to humans and other organisms. …”
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Towards a smart debt collection system: a Design Science Research approach by Michał Przybyłek, Adam Przybyłek, Konrad Wojciechowski, Illia Shkroba

“…The application of AI algorithms in this context has the potential to revolutionize the industry and enhance overall debt collection practices. …”
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Research on Cooperative Localization Method in Dynamic Networks by ZHANG Zhihua, SUN Bin, LI Bingchen, ZHOU Zhongfu, SHEN Feng

“…However, in the actual application process, the nodes in the system are always in motion, and often face the problem of scenario switching. This may lead to changes in roles between anchor nodes and ordinary nodes, the disappearance or emergence of ranging values between nodes, as well as nodes randomly accessing or exiting the network. …”
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Comparing the effect of pre-anesthesia clonidine and tranexamic acid on intraoperative bleeding volume in rhinoplasty: a machine learning approach by Zahra Asghari Varzaneh, Akram Hemmatipour, Hadi Kazemi-Arpanahi

“…This reduction enhances the surgeon’s visibility and may contribute to a shorter duration of the surgical procedure.…”
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Use of Artificial Intelligence in Imaging Dementia by Manal Aljuhani, Azhaar Ashraf, Paul Edison

“…Artificial intelligence algorithms (machine learning and deep learning) enable automation of neuroimaging interpretation and may reduce potential bias and ameliorate clinical decision-making. …”
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Mycobacterium tuberculosis infection in pregnancy: A systematic review. by Alison J Morton, Alexandra Roddy Mitchell, Richard E Melville, Lisa Hui, Steven Y C Tong, Sarah J Dunstan, Justin T Denholm

“…Pregnancy may be associated with risk of developing tuberculosis (TB) in those infected with Mycobacterium tuberculosis (Mtb). …”
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Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network by Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang

“…This study may provide some insights for the application and development of cellular signaling-based travel information collection technology for residents in the future.…”
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A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation by Or Inbar, Omri Inbar, Ronen Reuveny, Michael J. Segel, Hayit Greenspan, Mickey Scheinowitz

“…This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identifying chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD). …”
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Integrating Artificial Intelligence into Service Innovation, Business Development, and Legal Compliance: Insights from the Hainan Free Trade Port Era by Yincheng Li, Shumin Wang, Muhammad Bilawal Khaskheli

“…Hypothesis 3 state that HFTP enterprises comply with these laws while systemically assuring, in theory, and practice, the legal risks of artificial intelligence and its implications for legal regulation, which is a significant aspect of research, addressing legal risks related to data privacy, security, and algorithmic bias with many strategies being proposed. …”
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Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring by Maria Ulfa, Winny Setyonugroho, Tri Lestari, Esti Widiasih, Anh Nguyen Quoc

“…The study on mobile applications for dietary self-monitoring revealed seven clusters of dominant themes: attitude to improved dietary behaviors, parameters for disease diagnosis, noncommunicable diseases, methods, nutrition algorithms, mobile health applications, and body mass index. …”
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Deriving household composition using population-scale electronic health record data-A reproducible methodology. by Rhodri D Johnson, Lucy J Griffiths, Joe P Hollinghurst, Ashley Akbari, Alexandra Lee, Daniel A Thompson, Ronan A Lyons, Richard Fry

“…<h4>Results</h4>Two relative age-based algorithms were developed and returned similar results when applied to population and household-level data, describing household composition for 3.1 million individuals within 1.2 million households in Wales. …”
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A survey on benchmarking and performance evaluation of SOGI based three-phase advanced PLLs with DC offset rejection capability by Poonam Tripathy, Banishree Misra, Byamakesh Nayak, Payal Tripathy

“…However, because of the presence of grid harmonics and Direct Current (DC) offset in the grid voltage that cause fundamental frequency oscillations, phase-locked deviation may arise from incorrectly extracting the fundamental voltage component. …”
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Spatial Evaluation of <i>Salurnis marginella</i> Occurrence According to Climate Change Using Multiple Species Distribution Models by Jae-Woo Song, Jaho Seo, Wang-Hee Lee

“…However, considering the environmental adaptability of pests and the active international trade, it may invade other regions in the future. As the damage to local communities caused by pests becomes difficult to control after invasion, it is essential to establish measures to minimize losses through pre-emptive monitoring and identification of high-risk areas, which can be achieved through model-based predictions. …”
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HOW IS ARTIFICIAL INTELLIGENCE CHANGING HR? ADAPTIVE MANAGEMENT FOR THE NEW ENVIRONMENT by Dmytro Antoniuk, Bjoern Sven Ivens, Olexandr Kolyada

“…Special attention is paid to ethical issues such as algorithmic bias and transparency, as well as organisational barriers that may prevent the implementation of AI. …”
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Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks by Ruxin Wang, Hong Yan, Rui Kang, Xiaolei Feng

“…Tier 3 nodes (environment) have limited direct impacts but may pose long-term risks. This system provides actionable insights to prioritize safety interventions, offering a robust framework for enhancing apron safety.…”
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Structural Magnetic Resonance Imaging Brain Age Investigation in Athletes with Persistent Postconcussion Syndrome by Samuel Guay, Camille Charlebois-Plante, Sophie-Andrée Vinet, Marie-Eve Bourassa, Louis De Beaumont

“…Brain age prediction algorithms using structural magnetic resonance imaging (MRI) estimate the biological age of the brain by comparing it to a normal aging trajectory, allowing for the identification of deviations that may indicate slower or accelerated biological aging. …”
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State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States by Osman Ozer, Hayri Arabaci

“…However, in cases where the input data exhibit limited variation over time and consist of low-dimensional features, deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) may tend toward overfitting. To address this, deep learning algorithms such as long short-term memory (LSTM) have been focused on for SOC prediction. …”
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Machine Learning Prediction of Left Ventricular Assist Device Thrombosis from Acoustic Harmonic Power by Kent D. Carlson, Dan Dragomir-Daescu, Barry A. Boilson

“…Left ventricular assist device (LVAD) thrombosis typically presents late and may have devastating consequences for patients. …”
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Unlocking the structural, vibrational, electronic, optical and thermoelectric properties of K2X (X=S, Se, Te) monolayers via DFT and ML by G. Sneha, R.D. Eithiraj

“…These monolayers show broad absorption band in the order of 104 cm-1 in the UV–Vis region and may appear to have applications in optoelectronics. …”
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