Machine Learning in Intelligent Networks: Architectures, Techniques, and Use Cases by Elias Dritsas, Maria Trigka

“…Integrating machine learning (ML) into intelligent networks (INs) has redefined the capabilities of modern communication systems by enabling real-time decision-making, adaptive optimization, and enhanced security. The present survey systematically analyzes state-of-the-art ML techniques deployed across diverse IN architectures, including centralized, decentralized, and hybrid frameworks. …”
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Numerical and experimental study on cavitation and noise characteristics of electronic expansion valve by Shizhen Zheng, Kepeng Zhang, Jianbiao Wang, Minglei Jiang, Xiangdong Ran, Lihua Xuan, Yuchen He

“…These research findings unequivocally demonstrate that optimizing the valve-structure design through the utilization of a numerical-simulation method integrated with multiphase-flow and noise models can effectively abate the noise generated by the electronic expansion valve. …”
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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…Existing research lacks a structured analysis of how different OBL variants influence optimization performance when integrated into various MAs. …”
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The Use of Artificial Intelligence Technologies in Energy and Climate Security by Igbal A. Guliev, Agil Mammadov, Kanan Ibrahimli

“…The authors conclude that the truth of the hypothesis has been proven: the use of AI as a control feedback loop at a technical facility for purification and energy generation is a more cost-effective and technically optimal alternative to a “live” operator, which will eliminate the human error factor. …”
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multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…The meaning of solid waste management is a set of coherent and systematic programs and laws related to the control of production, collection, transportation, separation, recycling and burial of waste based on the principles of public health, economy and conservation of biological resources (Akbarpour Shirazi et al., 2015). …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…The alterations in the proximity factor are also more evident after 2010, with the influence thereof increasingly concentrated in city centers and sub-centers, rather than being dispersed over a broader area.ConclusionThis research advances the scale-integrated assessment of LER in urban environments by determining optimal granularity (550 m) and magnitude (1 250 m). …”
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Network topology optimization by turning non-scale-free networks into scale-free networks using nonlinear preferential rewiring method by Feng Su, Peijiang Yuan, Yuanwei Liu, Shuangqian Cao

“…In practical application, the generation and evolution of many real networks always do not follow rigorous mathematical model, making network topology optimization a great challenge in the field of complex networks. …”
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Optimizing post-surgical outcomes: unveiling the importance of patient-reported outcomes with insights from the schulthess local shoulder arthroplasty registry by Asimina Lazaridou, Tim Schneller, Florian Freislederer, Philipp Moroder, Markus Scheibel

“…The registry has been instrumental in addressing various clinical and methodological inquiries, focusing particularly on comparing different implant configurations and surgical techniques to optimize functional recovery. Additionally, SAR data played a pivotal role in substantiating the clinical significance and reliability of radiological monitoring for cortical bone resorption, scapular notching, and glenoid component loosening.…”
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Optimizing Gated Recurrent Unit (GRU) for Gold Price Prediction: Hyperparameter Tuning and Model Evaluation on Historical XAU/USD Data by Abdul Faqih, Muhammad Jauhar Vikri, Ita Aristia Sa’ida

“…Gold price forecasting is highly challenging due to its volatility and external factors, making it an important area of research for investors and financial analysts. By systematically optimizing hyperparameters through 72 combinations of epochs, batch size, GRU layer units, and dropout rates, the study identifies the optimal configuration (100 epochs, batch size of 16, 256 units, dropout rate 0.1) based on MSE performance on validation data. …”
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H∞ Optimal Inversion Feedforward and Robust Feedback Based 2DOF Control Approach for High Speed-Precision Positioning Systems by Chao Peng, Chongwei Han, Jianxiao Zou, Guanghui Zhang

“…The robust feedback controller design approach integrates with feedforward controller systematically and is obtained via LMI optimization. The proposed approach was illustrated through a simulation example of nanopositioning control in atomic force microscope (AFM); the experiment results demonstrated that the proposed 2DOF control approach not only achieves the performance specification but also could improve the positioning control performance compared with H∞ mixed sensitivity feedback control and inversion-based 2DOF control.…”
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Sustainable economic production quantity optimization (SEPQ) considering food waste emission and water waste emission using genetic algorithm by Windy Puspika, Ilyas Masudin, Thomy Eko Saputro, Salman Alfarisi, Dian Palupi Restuputri, S. Sarifah Radiah Shariff

“…This study presents a novel approach for optimizing Sustainable Economic Production Quantity (SEPQ) by incorporating food waste and water waste emissions into the production planning process through the use of a Genetic Algorithm (GA). …”
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Performance evaluation of Epoxy-60% zinc coating for steel bridge decks: physical properties analysis and optimal application window determination by Linwei Tang, Nongping Mao, Kai Wan, Xuetang Xiong, Bo Chen, Weixiong Li

“…The effect of surface cleaning before applying the waterproof bonding layer was also examined, showing a substantial enhancement in bonding strength. …”
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Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions by Muhammad Mubashir, Dekui Shen, Habib Kraiem, Aymen Flah, Nahar F. Alshammari, Muhammad Mubashar Hanif

“…Using Computational Fluid Dynamics (CFD) simulations combined with Machine Learning (ML)-assisted predictive modeling, the burner geometry, fuel–air mixing behavior, and heat transfer dynamics were systematically optimized. A Support Vector Regression-based model was trained on CFD-generated data to guide design modifications and reduce reliance on trial-and-error experimentation. …”
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Optimization of Nb2O5/g-C3N4/PPy as an electrode material for prevailing electrochemical performance by Manisha, M. Taqi Qaeemy, Monika Dhanda, Suman Lata, Harish Kumar, Anshu Sharma

“…Electrochemical assessments of the optimized composite, including CV, GCD, and EIS, revealed a specific capacitance of 1,290.15 F/g at 2 mV/s in 1 M H2SO4, with an energy density of 75.25 W h/kg at a power density of 450.01 W/kg, demonstrating the efficacy of the ternary composite strategy in advancing supercapacitor electrode properties. …”
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Multi-objective optimization of heat transfer performance of power battery cold plate based on bionic spider web flow channel by Junfu Qiao, Jinqin Guo, Yongwei Li

“…We establish a sophisticated physical model to analyze the thermal performance by systematically optimizing three key parameters: nanofluid inlet temperature, copper nanoparticle volume fraction, and flow velocity. …”
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Novel 3D UAV Path Planning for IoT Services Based on Interactive Cylindrical Vector Teaching–Learning Optimization Algorithm by Xinghe Jiang, Xuanyu Wu, Zhifeng Zhang, Zhaoxi Hong, Xi Xiao, Yixiong Feng

“…In the 6G-IoT convergence ecosystem, UAV path planning for static environments is systematically investigated as a resource coordination problem where communication demands and terrain constraints are balanced through intelligent trajectory optimization. …”
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Design of auxetic metamaterial for enhanced low cycle fatigue life and negative Poisson’s ratio through multi-objective Bayesian optimization by Sukheon Kang, Hyeonbin Moon, Seonho Shin, Mahmoud Mousavi, Hyokyung Sung, Seunghwa Ryu

“…This approach systematically explores the design space, simultaneously enhancing NPR and optimizing fatigue resistance while alleviating localized stress concentrations. …”
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Optimization of Guard Ring Structures for Superior Dark Current Reduction and Improved Quantum Efficiency in InGaAs/InP APDs by Zefang Xu, Yu Chang, Kai Qiao, Liyu Liu, Linmeng Xu, Mengyan Fang, Chang Su, Fei Yin, Jieying Wang, Tianye Liu, Ming Li, Dian Wang, Lizhi Sheng, Xing Wang

“…Avalanche photodiodes (APDs) based on InGaAs/InP are pivotal for applications in low-light detection, yet their performance is often hindered by edge breakdown and high dark currents. This study systematically optimizes guard ring structures to address these challenges, focusing on attached guard rings (AGRs) and floating guard rings (FGRs) through a synergistic approach combining simulation-guided design, fabrication, and experimental validation. …”
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Optimizing Economy with Comfort in Climate Control System Scheduling for Indoor Ice Sports Venues’ Spectator Zones Considering Demand Response by Zhuoqun Du, Yisheng Liu, Yuyan Xue, Boyang Liu

“…To explore economic cost potential while ensuring user comfort, this study proposes a demand response-integrated optimization model for climate control systems. …”
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Optimization of low-temperature catalytic cracking of polyolefin waste in open-batch reactors using zeolite beta with controlled intrinsic properties by Hankyeul Kang, Junghwa Yoon, Dongwoo Jun, Ki Hyuk Kang, Insoo Ro, Soohwa Jeong, Jong Hun Kang

“…Chemical recycling emerges as a pivotal technology that can suppress carbon introduction into the carbon cycle and provide petroleum alternatives for current petrochemical processes. …”
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