Spatially and temporally correlated channel estimation and detection for comparator network-aided MIMO receivers with 1-bit ADCs by Luiz Sampaio, Lukas T. N. Landau

“…Furthermore, we present a dynamic comparator network selection algorithm that adjusts the utilized comparators in real time to account for variations in channel correlation coefficients. …”
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A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies by Funda Samanlioglu, Nauman Tabassum, Tolga Kudret Karaca, Ayse Humeyra Bilge

“…To find approximate efficient solutions to this bicriteria problem, ODE and genetic algorithm toolboxes of MATLAB are integrated (GA-ODE). …”
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Application of Deep Learning for Stock Prediction Within the Framework of Portfolio Optimization in Quantitative Trading by Xiaoyu Qin

“… This paper proposes a method for stock prediction and portfolio optimization as a part of quantitative trading based on a combination of Bi-RNN and a modified snake optimization algorithm (MSOA) to build optimal portfolios and outperform conventional models and benchmarks. …”
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Rural Landscape Characters and Spatial Correlation Mechanism in the Tiaoxi River – Canal Basin in Zhejiang Province by Lin ZHANG, You ZUO, Binyi LIU

“…From the perspective of coupling mechanism, the spatial coupling degrees of the regional agricultural production and township community linkage types of landscape are relatively high in the West Tiaoxi River − Ditang Canal Basin, with mean values of 0.731 and 0.775, respectively; while the mean value of the canal hydraulic engineering type is only 0.596, relatively low.ConclusionThe research delves into the underlying mechanisms that interlink the water network, canal channel and rural landscape within the human settlement system of the Jiangnan Canal Basin. …”
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A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

“…Simulations indicate that the values of root mean square error (RMSE) for state of charge (SOC) and state of health (SOH) are lower compared to other algorithms, being less than 0.9% and 0.8%, respectively. …”
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Node importance ranking for influence maximization in social networks by Wenjing Yang, Qing Liu, Wei Zhang

“…To address these problems, this paper proposes a multi-attributes node importance ranking algorithm based on entropy and analytic hierarchy process, which integrates degree centrality, K-shell values based on location, and PageRank values from random walks. …”
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Robust Voltage Sag Compensation Using a Matrix Converter DVR and Sliding Mode Control Technique by Abdul Hameed soomro, Imtiaz Ali Laghari, Ghulam Sarwar Kaloi, Zainab Sohoo, Safina Khatoon

“…The traditional methods such as the real-coded genetic algorithm were considered but, these methods typically involve extended convergence times to optimize the PI gains of the Sliding Mode Control (SMC). …”
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Information indicators of radar portraits of air objects and generalized indicators of the ability of recognition systems to extract information by R. N. Akinshin, A. V. Peteshov

“…The concepts of differential and integral contrast are formalized in the case of arbitrarily correlated RLP. …”
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Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials by Ahmed Farid Ibrahim, Mohamed Abdrabou Hussein

“…Random Forest (RF), Decision Tree (DT), Gradient Boosting Regressor (GBR), support vector machines (SVM), and Artificial Neural Networks (ANN) were applied along with key input parameters, including raw material type, particle size, and activation conditions. A genetic algorithm (GA) integrated with the GBR model optimizes the synthesis process. …”
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The Use of Wearable Sensors and Machine Learning Methods to Estimate Biomechanical Characteristics During Standing Posture or Locomotion: A Systematic Review by Isabelle J. Museck, Daniel L. Brinton, Jesse C. Dean

“…Overall, this review can help guide the future development of ML algorithms and wearable sensor technologies to estimate postural mechanics.…”
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Freedom of Speech and Expression in the Digital Age: Philosophical Analysis and Social Security Challenges by Tatiana Yu. Lifanova, Sergey A. Lifanov, Alexey V. Verevkin

“…The specificity of the study lies in the integration of the philosophical discourse on freedom of expression with the current challenges of the digital environment, which allows us to propose new approaches to ensuring social security without compromising democratic values. …”
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Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data by Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle

“…The study concludes that Machine learning algorithms, particularly ensemble learning, hold significant promise for improving CVD risk assessment. …”
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Enhancing multivariate post‐processed visibility predictions utilizing Copernicus Atmosphere Monitoring Service forecasts by Mária Lakatos, Sándor Baran

“…Recent studies demonstrated that the application of classification algorithms can successfully improve the skill of such discrete forecasts; however, a frequently emerging issue is that certain spatial and/or temporal dependencies could be lost between marginals. …”
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Realistic synthetic dataset generation for cyber-physical systems: a performance evaluation by Yaa Acquaah, Kaushik Roy

“…Abstract Cyber-physical systems (CPS) represent the seamless integration of physical and digital systems connected through network of sensors, actuators, and controllers. …”
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Reliability and Quality of Complex Systems by I.V. Peshkov, V.A. Zhigulin, N.A. Fortunova

“…One of the leading directions in the development of direction-of-arrival estimation systems is the use of digital antenna arrays and super-resolution algorithms. The task of implementing a system for calibrating the effect of mutual coupling on FPGAs and integrating it into a common computing unit is poorly covered in the literature and is relevant. …”

A Convolutional Neural Network Tool for Early Diagnosis and Precision Surgery in Endometriosis-Associated Ovarian Cancer by Christian Macis, Miriam Santoro, Vladislav Zybin, Stella Di Costanzo, Camelia Alexandra Coada, Giulia Dondi, Pierandrea De Iaco, Anna Myriam Perrone, Lidia Strigari

“…In contrast, the VGG19 + SVM model, with an MLcps value of 0.76, yielded an AUC of 0.79 (95% CI: 0.63–0.93). …”
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A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping by Xu Zhang, Xin Liu, Xiang Zhang, Aminjon Gulakhmadov, Jiefeng Wu, Xihui Gu, Won-Ho Nam, Panda Rabindra Kumar, Veber Afonso Figueiredo Costa, Mahlatse Kganyago, Berhanu Keno Terfa, Wenying Du, Chao Wang, Peng Wang, Jing Yuan, Nengcheng Chen

“…Subsequently, the LightGBM downscaling algorithm was used to reduce the spatial resolution of GLEAM SSM and RZSM data from 0.25° to daily 1-km resolution. …”
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A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility by Yan Zhang, Shewei Xin, Wei Zhou, Xiao Wang, Yangyang Xu, Yanjing Su

“…Here, we propose a multi‐objective feature optimization strategy that identifies feature subsets to improve both prediction accuracy and active learning efficiency for iterative experimentation. Our approach integrates an evolutionary genetic algorithm to explore an expanded feature space, encompassing both traditional feature pools and a continuous numerical representation of elements rather than relying solely on discrete values. …”
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MAPPING GENERATIVE AI'S ETHICAL ISSUES IN HIGHER EDUCATION: A FELT-GUIDED SYSTEMATIC REVIEW [PEMETAAN ISU ETIKA GENERATIVE AI DI PENDIDIKAN TINGGI: TINJAUAN SISTEMATIS BERPANDUAN... by okky barus, Achmad Nizar Hidayanto, Imairi Eitiveni

“…This study equips higher education stakeholders to navigate GenAI's ethical landscape and uphold core educational values by synthesizing current ethical dilemmas and offering a FELT-guided framework for responsible integration. …”
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Improved Electrochemical–Mechanical Parameter Estimation Technique for Lithium-Ion Battery Models by Salvatore Scalzo, Davide Clerici, Francesca Pistorio, Aurelio Somà

“…Unlike other parameter-estimation procedures, this study introduces a novel approach that integrates mechanical measurements with electrical data, with a specific application for lithium iron phosphate (LFP) cells. …”
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