Implementation of a Data-Parallel Approach on a Lightweight Hash Function for IoT Devices by Abdullah Sevin

“…There is a need for lightweight algorithms that can efficiently utilize multi-core platforms or distributed computing environments with high degrees of parallelization. …”
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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

“…To overcome this limitation, we propose several novel algorithms to reconstruct the growth history of a present-day network. …”
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT. by Yasser Filahi, Omer Melih Gul, Ali Elghirani, Erkut Arican, Ismail Burak Parlak, Seifedine Kadry, Kostas Karpouzis

“…Our creative implementation of ML algorithms extends beyond simple recommendations. It also includes demand forecasting, guaranteeing that popular products are constantly in stock, reducing disappointments, and increasing consumer satisfaction. …”
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Artificial Intelligence in Medical Education: Promise, Pitfalls, and Practical Pathways by Saroha S

“…While AI-driven transcription tools reduce administrative burdens and machine learning algorithms enhance diagnostic accuracy, the risks of over-reliance, algorithmic bias, and patient data security remain critical concerns. …”
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Subsynchronous Oscillation Time-varying Amplitude Frequency On-Line Monitoring Method Based on Sliding Window FFT by Jing YANG, Tong WANG, Junci TANG

“…Finally, using the ideal non-stationary signals, simulation signals and the measured signals of the power grid as test cases, the comparison results with the Prony and HHT algorithms show that this method not only can eliminate the influence of modal mixing, but also has anti-noise ability. …”
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Security Protection of Electrical Intelligent Sensors and Sensor Networks by Chunyan AN, Yang LU, Di ZHAI, Xueqiong ZHU

“…Besides, new types of security attacks which utilize sensing mechanisms or data processing algorithms are also increasing. Firstly, we analyzed the security requirements of electrical intelligent sensors and networks based on site conditions, service characteristics, equipment capabilities, and industry status quo. …”
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Interpretability in deep learning for finance: A case study for the Heston model by Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Sáez de Ocáriz Borde

“…In this study, we focused on the calibration of a stochastic volatility model, a subject recently tackled by deep-learning algorithms. We analyzed the Heston model in particular, as this model’s properties are well known, resulting in an ideal benchmark case. …”
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Fields2Benchmark: An open-source benchmark for coverage path planning methods in agriculture by Gonzalo Mier, Ana María Casado Faulí, João Valente, Sytze de Bruin

“…It also fails on non-convex fields and operations that require reload trips. …”
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Optimization of centrifugal compressor stages by E. V. Dubinin, B. F. Idiyatullin, N. G. Khasanov

“…The article describes а hydraulic efficiency increase in the centrifugal compressor stage using automatic optimization algorithms. The optimization criterion is the polytropic efficiency of the intermediate compressor stage. …”
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The prognostic and therapeutic significance of polyunsaturated fatty acid‐derived oxylipins in ST‐segment elevation myocardial infarction by Zhiyong Du, Yingyuan Lu, Ying Ma, Yunxiao Yang, Wei Luo, Sheng Liu, Ming Zhang, Yong Wang, Lei Li, Chun Li, Wei Wang, Hai Gao

“…Herein, we used targeted metabolomics and machine learning algorithms to develop an oxylipin‐based risk model to accurately predict recurrent major adverse cardiovascular events (MACE) after STEMI in two independent prospective cohorts with 2 years of follow‐up. …”
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Micro-stories, Robotic Coding, Digital Applications, and Augmented Reality to Enhance Children's Computational Thinking [Microrrelatos, codificación robótica, aplicaciones digitale... by M. Esther Del-Moral-Pérez, Nerea López Bouzas, Jonathan Castañeda-Fernández

“…Students with Special Educational Needs and Disabilities (SEND) also showed an improvement in their CT skills, albeit with greater challenges. …”
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Remote Sensing Tools for Monitoring Marine Phanerogams: A Review of Sentinel and Landsat Applications by Noelia Campillo-Tamarit, Juan Víctor Molner, Juan M. Soria

“…By enabling targeted interventions, this approach facilitates the preservation of seagrass meadows, which are also critical for carbon sequestration and the sustainability of marine habitats.…”
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Investigating Internet of Things and Artificial Intelligence-Based Approaches to Smart Irrigation System Optimisation for Agricultural Water Resource Management by Balassem Zaid Ajzan, Alkhafaij Mahdi Abdulkhudur, Raju Nadimpalli Venkata Ganapathi

“…This system leverages IoT sensors to monitor environmental variables and uses AI algorithms to analyze this data and make real-time irrigation decisions. …”
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An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points by Weihua Zhou, Bin Liu, Nabil Mohammed, Behrooz Bahrani

“…However, existing admittance estimation algorithms usually face challenges in versatility, data demands, and accuracy. …”
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Big Questions of Artificial Intelligence (AI) in Public Administration and Policy by Mehmet Metin Uzun, Mete Yıldız, Murat Önder

“…The artificial intelligence (AI) ecosystems and algorithms now affect daily lives, communities, and government structures more than ever. …”
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Deep Learning in Finance: A Survey of Applications and Techniques by Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba

“…It also examines recent advances and emerging trends in the financial industry alongside critical challenges such as data quality, model interpretability, and computational complexity. …”
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Transformed L1 Regularization for Sparse Photoacoustic Tomography by Xueyan Liu, Lu Wang, Xin Wang, Ziqi Hao, Xiaolong Hu

“…This finding has important implications for improving sparse sampling PAT algorithms, and also provides valuable insights for the development of biomedical applications in the future.…”
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Analysis of the Effect of Skin Pigmentation and Oxygen Saturation on Monte Carlo-Simulated Reflectance Photoplethysmography Signals by Raghda Al-Halawani, Meha Qassem, Panicos A. Kyriacou

“…These results suggest that in-built adjustments may be required for data collected from red-light sources in pulse oximeters that do not currently have the necessary post-processing algorithms to account for this difference between diverse skin populations.…”
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Predicting the Aquatic Toxicity of Pharmaceutical and Personal Care Products: A Multitasking Modeling Approach by Amit Kumar Halder, Tanushree Pradhan, M. Natália D. S. Cordeiro

“…Multitasking Quantitative Structure–Toxicity Relationship (mt-QSTR) models were then developed employing the Box–Jenkins moving average approach, incorporating both linear and non-linear frameworks based on diverse feature selection algorithms and machine learning techniques. To further improve the external predictivity, a consensus modeling approach was also implemented. …”
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Phenological Restriction of the Oryza (v3) Model by Gutemberg Resende Honorio Filho, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Santiago Vianna Cuadra, Silvio Steinmetz

“…Day length, determined by latitude and day of the year, also affects crop development. This study explores the interaction of these parameters in the ORYZA (v3) phenological model. …”
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