Structural Properties of Optimal Maintenance Policies for <i>k</i>-out-of-<i>n</i> Systems with Interdependence Between Internal Deterioration and External Shocks by Mizuki Kasuya, Lu Jin

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A Review of Cybersecurity Challenges in Smart Power Transformers by Hossein Rahimpour, Joe Tusek, Ahmed S. Musleh, Boyu Liu, Alsharif Abuadbba, Toan Phung, Aruna Seneviratne

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Market Regime Identification and Variable Annuity Pricing: Analysis of COVID-19-Induced Regime Shifts in the Indian Stock Market by Mohammad Sarfraz, Guglielmo D’Amico, Dharmaraja Selvamuthu

“…The Expectation–Maximization (EM) algorithm was employed to achieve robust calibration and enhance pricing accuracy. …”
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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

“…Achieving tax targets efficiently while utilizing available resources is crucial. To assess the performance efficiency of decision-making units (DMUs), data envelopment analysis (DEA) is commonly employed. …”
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Meeting Stringent QoS Requirements in AAV-Assisted Networks: Resource Allocation and AAVs Positioning by Meriem Hammami, Cirine Chaieb, Wessam Ajib, Halima Elbiaze, Roch Glitho

“…Considered a promising solution, autonomous aerial vehicles (AAVs) can be deployed as flying base stations or relays to provide fast and reliable communication between physicians and remote robots in both uplink and downlink directions, while meeting strict transmission requirements. This paper addresses the joint optimization problem of AAV positioning and resource allocation in AAV-assisted wireless networks to minimize the number of deployed AAVs, all while satisfying stringent transmission quality demands. …”
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Data popularity-based encrypted deduplication scheme without third-party servers by Guanxiong HA, Qiaowen JIA, Hang CHEN, Chunfu JIA

“…It is effective to balance data security and storage efficiency for setting different levels of security protection for data based on popularity in encrypted deduplication systems.Existing schemes all need introduce a trusted third-party for recording data popularity, while the third party is prone to a single point of failure and efficiency bottleneck.To address this problem, a popularity-based encrypted deduplication scheme without third-party servers was proposed, which accurately recorded the data popularity based on the Count-Min sketch algorithm and Merkle Puzzles protocol, and achieved encrypted deduplication of unpopular data through the sPAKE protocols performed among users.Security analysis and experimental evaluation show that the proposed scheme is secure and efficient.…”
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Modeling and Analysis of Staged Constellation Deployment from a Single-Unit System by Daniel Cumbo, Marc Anthony Azzopardi

“…The results indicate that while mission-specific factors influence deployment dynamics, informed selection of the disengagement velocities is crucial for minimizing phase times and mitigating potential delays. …”
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A Heuristic Enhancing Artificial Immune System for Three-dimensional Loading Capacitated Vehicle Routing Problem by Peeraya Thapatsuwan, Warattapop Thapatsuwan, Chaichana Kulworatit

“…Comparative experiments were conducted against conventional AIS and the Firefly Algorithm (FA) across 27 benchmark instances. Results demonstrate that En-AIS consistently outperforms both baseline methods in terms of solution quality, achieving an average improvement of 15–20% while maintaining competitive computational times. …”
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A Multi-Fusion Early Warning Method for Vehicle–Pedestrian Collision Risk at Unsignalized Intersections by Weijing Zhu, Junji Dai, Xiaoqin Zhou, Xu Gao, Rui Cheng, Bingheng Yang, Enchu Li, Qingmei Lü, Wenting Wang, Qiuyan Tan

“…The risk detection module applies an elliptical buffer zone algorithm to perform dynamic spatial collision determination. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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Unscented transformation method for robustness verification of helicopter flight control system by LIU Changqi, LI Aijun, DUAN Guangzhan, LI Zuo

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Optimal fuzzy robust state feedback control for a five DOF active suspension system by M.J. Mahmoodabadi, N. Nejadkourki, M. Yousef Ibrahim

“…Optimization using the Sine Cosine Algorithm (SCA) is then used to determine the optimal gains for the controller that has been constructed. …”
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A Smart Housing Recommender for Students in Timișoara: Reinforcement Learning and Geospatial Analytics in a Modern Application by Andrei-Sebastian Nicula, Andrei Ternauciuc, Radu-Adrian Vasiu

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Multipath intelligent transmission strategy for UAM dynamic networks by WANG Yuting, LENG Supeng, XIONG Kai

“…Simulation experiments demonstrate that, under various scenarios, the multipath intelligent routing strategy based on reinforcement learning (MIRSRL) effectively reduces end-to-end transmission delay while also increasing the probability of successful data recovery.…”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…The final integration of all three parameters (APT-HG-LET-SE) revealed that more than 50% of the entire study area is highly suitable for hybrid renewable energy systems, while unsuitable areas were restricted to valleys and sharply inclined slopes. …”
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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of various machine learning approaches, including deep learning. …”
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A novel method for encoding and decoding based on enhanced parity-check-concatenated polar codes by Yan WANG, Shunlan LIU, Zhenzhen XI, Jianrong BAO

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A novel method for encoding and decoding based on enhanced parity-check-concatenated polar codes by Yan WANG, Shunlan LIU, Zhenzhen XI, Jianrong BAO

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Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis by Zenghui Liu, Jing Lin

“…Results show that the BP-SVM combination algorithm significantly reduces Mean Absolute Error (MAE) compared to other models. …”
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Bi-Level Collaborative Optimization for Medical Consumable Order Splitting and Reorganization Considering Multi-Dimensional and Multi-Scale Characteristics by Peng Jiang, Shunsheng Guo, Xu Luo

“…Finally, a case study and comparative experiments validate the practicality and effectiveness of the proposed model and algorithm.…”
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