Primary health care data-based early warning system for dengue outbreaks: a nationwide case study in BrazilResearch in context by Rejane Santos-Silva, Pilar Tavares Veras Florentino, Thiago Cerqueira-Silva, Vinicius de Araújo Oliveira, Juracy Bertoldo Junior, George C.G. Barbosa, Gerson O. Penna, Viviane S. Boaventura, Pablo I. Pereira Ramos, Manoel Barral-Netto, Izabel Marcilio

“…Interpretation: The EARS algorithm applied to PHC data anticipated outbreaks up to four weeks before suspected case reporting. …”
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Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

“…To empower the eSR with early diagnosis functionality, self‐learning capability is further added by integrating the respirometer with the machine learning algorithms. …”
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Web Spider Defense Technique in Wireless Sensor Networks by Alejandro Canovas, Jaime Lloret, Elsa Macias, Alvaro Suarez

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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The desert pavement model was created using a stepwise multiple regression method after determining the appropriate variables. In this method, the values ​​of one variable (dependent variable Y) were estimated from the values ​​of two or more variables. …”
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Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO by Rongfu Luo, Zenghui Wang, Yanxia Sun

“…Therefore, this paper is to use the particle swarm optimization (PSO) algorithm to optimize the PI parameters of PLL and speed-loop of Luenberger observer of the system. …”
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Designing a sustainable and resilient agri-food closed-loop supply chain network for porcine products by Álvaro Ronaldo Elizalde Camacho, Fatemeh Gholian-Jouybari, Behzad Mosallanezhad, Neale R. Smith, Mostafa Hajiaghaei-Keshteli

“…In 86 % of numerical tests, the H_KASA outperforms other proposed algorithms in terms of objective function value. Sensitivity analysis reveals that production capacity and customer demand have a significant impact on supply chain costs, leading to a shift of over 20 % when either parameter increases by 50 %. …”
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Preliminary Electroencephalography-Based Assessment of Anxiety Using Machine Learning: A Pilot Study by Katarzyna Mróz, Kamil Jonak

“…Future research should focus on optimizing ML algorithms, enhancing personalization, and addressing ethical concerns related to patient privacy.…”
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JMoE-FAP: A novel model for telecom network fraud victimization pattern analysis by Tuo Shi, Jing Hu, Danyang Li, Min Chen

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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…Other methods, such as Generative Adversarial Networks (GANs) and Autoencoders, are used for feature extraction, while Recurrent Neural Networks (RNNs) are employed for time-sequence modeling. Some models integrate with Internet of Things (IoT) frameworks or federated learning for real-time diagnostics and privacy, often paired with optimization algorithms. …”
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Advancements in Machine Learning (ML): Transforming the Future of Blood Cancer Detection and Outcome Prediction by Wiebke Rösler, Michael Roiss, Corinne Widmer

“…Recent studies demonstrate that ML algorithms can rapidly predict hematologic malignancies and patient outcomes, matching or exceeding the accuracy of experienced hematologists. …”
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“I exist because I adapt”: Evolving technology HR themes, HR roles with STARA competencies for performance by Vinit Ghosh, Gaurav Kabra

“…The paper aims to understand the research themes evolved from 2011-2024 in Human resource (HR) technology field and highlight key HR technology roles with STARA (Smart Technology, AI, Robotics and Algorithms) competencies. To capture the technology shift and research themes in the technology HR field pre- and post-pandemic period, we conducted bibliometric analysis for the two time periods viz., 2011-2019 and 2020-2024. …”
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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

“…The problem of parallel segmentation of halftone images by brightness for implementation on the basis of programmable logic integrated circuits is considered. Segmentation divides an image into regions formed from pixels with approximately the same brightness, and is a computationally complex operation due to multiple checks of the value of each pixel for the possibility of joining an adjacent region. …”
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An enhanced CNN-Bi-transformer based framework for detection of neurological illnesses through neurocardiac data fusion by Kavita Rawat, Trapti Sharma

“…The suggested method overcomes the shortcomings of earlier studies, which tended to concentrate on single-modality data, lacked thorough neurocardiac data fusion, and made use of less advanced machine learning algorithms. The comprehensive experimental findings, which provide an average improvement in accuracy of 2.72%, demonstrate that the suggested work performs better than other cutting-edge AI techniques and generalizes effectively across diverse datasets.…”
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Two-Step Estimation Procedure for Parametric Copula-Based Regression Models for Semi-Competing Risks Data by Qingmin Zhang, Bowen Duan, Małgorzata Wojtyś, Yinghui Wei

“…Due to the complexity of the copula structure, we propose a new method that integrates a novel two-step algorithm with the Bound Optimization by Quadratic Approximation (BOBYQA) method. …”
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Validation of Depth-Averaged Flow Model Using Flat-Bottomed Benchmark Problems by Il Won Seo, Young Do Kim, Chang Geun Song

“…The mass conservation rate was determined to be 99.2%. This value was measured by the variation of the total volume of the fluid after a cylinder break. …”
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Impact of Controller Performance on the Process of Guiding an Armour-Piercing Missile onto a Ground-Based Target by Łukasz NOCOŃ, Konrad STEFAŃSKI

“…A comparison is made between the operating efficiency of various configurations of a traditional proportional integral derivative (PID) controller, and at various gain factor values of the PID controller stages. …”
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Hybrid Series of Carbon‐Vacancy Electrodes for Multi Chemical Vapors Diagnosis Using a Residual Multi‐Task Model by Tianci Liu, Yun Ji Hwang, Lu Zhang, Jongwoo Hong, Teajong Hwang, Seong Chan Jun

“…Artificial intelligence (AI) integrated gas sensor systems effectively enable multi‐gas detection using specialized algorithms. …”
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Vote-Based: Ensemble Approach by Abdul Ahad Abro

“…In most cases, the ensemble learning algorithm yields better performance than ML algorithms. …”
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Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters by Faizan Mehmood, Lenos Hadjidemetriou, Panayiotis M. Papadopoulos, Marios M. Polycarpou

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Occupancy Monitoring Using BLE Beacons: Intelligent Bluetooth Virtual Door System by Nasrettin Koksal, AbdulRahman Ghannoum, William Melek, Patricia Nieva

“…Bluetooth low energy (BLE) technology is energy- and cost-efficient compared to other technologies. Integrating BLE Received Signal Strength Indicator (RSSI) signals with machine learning (ML) introduces a new Artificial Intelligence- (AI-) enhanced OM approach. …”
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