Comparison of contact tracing methods: A modelling study by Joanna X.R. Tan, Lalitha Kurupatham, Zubaidah Said, Jeremy Chan, Kelvin Bryan Tan, Marc Ho, Vernon Lee, Alex R. Cook

“…Methods: We developed a transmission network model using Singapore's contact tracing data and the characteristics of COVID-19 disease. …”
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Microclimate monitoring in commercial tomato (Solanum Lycopersicum L.) greenhouse production and its effect on plant growth, yield and fruit quality by Jakub Šalagovič, Dorien Vanhees, Pieter Verboven, Kristof Holsteens, Bert Verlinden, Marlies Huysmans, Bram Van de Poel, Bram Van de Poel, Bart Nicolaï, Bart Nicolaï, Bart Nicolaï

“…These findings could encourage the sector to deploy larger sensor networks for optimal greenhouse climate control. A sensor grid covering the whole area of the greenhouse is a necessity for climate control strategies to mitigate suboptimal conditions.…”
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Presenting Iran's new economic diplomacy model with an export approach for neighboring countries with an emphasis on cultural and media diplomacy capacities by sekhavat kheirkhah, sayed Ali Tabatabai Panah, Alireza Soltani, Hamid Reza Shirzad

“…The second important theory is Castells' network society theory, which believes that power is dependent on networks, and power in a network society ultimately falls to those who control the communication capacities between networks and groups within the network. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…Out of the various ML algorithms, four models have proven to be particularly significant and were used in almost 20% of the studies, including elastic net penalized logistic regression, artificial neural network, convolutional neural network (CNN) and multiple linear regression. …”
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Enhancing short-packet communications: BLER performance in RIS-assisted ambient backscatter NOMA systems. by Le Si Phu, Tan N Nguyen, Bui Vu Minh, Phu Tran Tin, Miroslav Voznak

“…Different from existing works, our study considers a Nakagami-m fading environment and derives closed-form expressions for the average and asymptotic BLER. By leveraging power-domain NOMA and RIS-assisted reflection, we optimize signal reception for both direct and backscattered links, enhancing spectral efficiency and communication reliability. …”
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Comparison of a Fuzzy Genetic and Simulated Annealing Algorithm Approach for Project Time-Cost Tradeoff by Nataša Glišović

“…The comparison of fuzzy simulated annealing and the genetic algorithm based on the crashing method is introduced in this paper to evaluate project networks and determine the optimum crashing configuration that minimizes the average project cost, caused by being late and crashing costs in the presence of vagueness and uncertainty. …”
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Modular multilevel converter periodic trajectory determination — A generic Fourier-based collocation method by Philippe De Rua, Jef Beerten

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Deep Learning in Power Systems: A Bibliometric Analysis and Future Trends by Seyed Mahdi Miraftabzadeh, Andrea Di Martino, Michela Longo, Dario Zaninelli

“…Over 37,600 authors contributed, averaging 12 citations per paper. Keyword trends show traditional deep learning techniques like LSTMs and CNNs are widely used in power systems, while newer methods like advanced reinforcement learning, graph neural networks, and physics-informed neural networks are emerging, promising advancements in optimal power flow, V2G integrations, and grid resilience. …”
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Voice recognition enhancement by genetic algorithm by Mohamed Salah Salhi, Ali Hamdan Alenezi

“…This research paper investigates the application of Genetic Algorithms (GA) in optimizing Artificial Neural Networks (ANN) for phoneme recognition. …”
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From pixels to objects: Integrated indicators for balancing sustainable management in protected areas by Reza Peykanpour Fard, Alireza Soffianian, Mohsen Ahmadi, Saeid Pourmanafi

“…The approach combines pixel-based optimization with AI-enhanced object-based evaluation. …”
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Bidirectional association of daily steps with sarcopenia: a longitudinal study by Yilun Wang, Ziying Wu, Yuqing Zhang, Zidan Yang, Changjun Li, Jie Wei, Guanghua Lei, Chao Zeng

“…This study examined the directional association between daily steps and sarcopenia.Methods Data were collected from the Xiangya Step Study (a population-based longitudinal study) between January 2020 and December 2022. Average daily steps were tracked via smartphones linked to WeChat, a social networking platform. …”
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Self-Adaptive Trust Based ABR Protocol for MANETs Using Q-Learning by Anitha Vijaya Kumar, Akilandeswari Jeyapal

“…Mobile ad hoc networks (MANETs) are a collection of mobile nodes with a dynamic topology. …”
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New methodology for identifying sustainable freshwater resources for the production of green hydrogen by Miklas Scholz

“…This can be achieved through the sustainable flood retention basin (SFRB) concept for identifying optimal locations for the retention of surface water. …”
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THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES by Windy Ayu Pratiwi, Anwar Fajar Rizki, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…Conversely, advanced methods such as Recurrent Neural Networks (RNN) have shown promise in handling these complexities and providing reliable long-term forecasts. …”
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Determination of a Similar Anatomical Area on a Chest CT Image Using Traditional Image Feature Extraction Methods by A. A. Kosareva, P. V. Kamlach, V. A. Kovalev

“…Conclusions are fomulated about the need to use neural network methods to improve the error in determining the similar layer containing the necessary anatomical structure.…”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

“…Additionally, Multi-scale Feature Fusion (MFF) combines Convolutional Neural Networks (CNN) and Transformer-based feature extraction to enhance robustness in complex environments. …”
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Game and Application Purchasing Patterns on Steam using K-Means Algorithm by Salman Fauzan Fahri Aulia, Yana Aditia Gerhana, Eva Nurlatifah

“…The evaluation includes the silhouette coefficient, which measures the proximity between variables, and precision purity, which compares labels by assigning a value of 1 (actual) or 0 (false). The study finds an average silhouette coefficient of 0.345 and a precision purity value of 0.734, indicating that the k-means algorithm performs optimally based on the precision purity metric. …”
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Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model by Mosharof Hossain Dipo, Fahmid Al Farid, Md. Sifti Al Mahmud, Muntasir Momtaz, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…To enable the recycling process to be optimized and to minimize environmental impact, waste materials must be well detected and classified. …”
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Bayesian Adaptive Extended Kalman-Based Orbit Determination for Optical Observation Satellites by Yang Guo, Qinghao Pang, Xianlong Yin, Xueshu Shi, Zhengxu Zhao, Jian Sun, Jinsheng Wang

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Using Genetic Algorithms for Hardware Core Placement and Mapping in NoC-Based Reconfigurable Systems by Jonas Gomes Filho, Marius Strum, Wang Jiang Chau

“…Mapping of cores has been an important activity in NoC-based system design aimed to find the best topological location onto the NoC, such that the metrics of interest can be greatly optimized. In the last years, partial reconfigurable systems (PRSs) have included Networks-on-Chips (NoCs) as their communication structure, adding complexity to the problem of mapping. …”
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