Drying of Nettle Using Concentrated Air Collector and Concentrated Photovoltaic Thermal Supported Drying System and Modeling with Machine Learning by Mehmet Onur Karaagac

“…The data obtained from the drying system were modelled using machine learning algorithms such as artificial neural networks (ANN), support vector machines (SVM), and gradient boosting decision trees (GBDT). …”
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Glioma Grade Classification: Hypertuned CNN With Saliency-Based Insight From MRI by Khondakar A. Shahriar, Enamul H. Bhuiyan, Md. Forhad Hossain, Rakibur Rahman, Muhammad E. H. Chowdhury

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Research on the prediction of blasting fragmentation in open-pit coal mines based on KPCA-BAS-BP by Shuang Liu, Enxiang Qu, Chun LV, Xueyuan Zhang

“…The beetle antennae search algorithm (BAS) is selected to optimize the parameters of the initial weights and thresholds of the back propagation (BP) neural network. …”
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Performance of M-QAM MIMO PNC Based on MRC and ZR Techniques by Alaa A. Yassin, Ebtihal H. G. Yousif, Rashid A. Saeed, Hashim Elshafie, Abdullah Alenizi, Hesham Alhumyani

“…Physical-layer Network Coding (PNC) combined with MIMO techniques is introduced to optimize performance metrics and provide increased data throughput and full diversity gain. …”
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Dual Improvements DCNv4 and AsDDet Mechanisms for Small Object Detection in Aerial Imagery by Fan Jiang, Hua-Ching Chen, Song-Lin Wei, Hsuan-Ming Feng

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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions by Chao Cao, Mengli Li, Chunyu Wang, Lei Xu, Quan Zou, Yansu Wang, Wu Han

“…Next, we present a joint model that combines an improved neural graph collaborative filtering method with a feature extraction network for optimization. Deep interaction information is embedded as informative features within the sequence representations for prediction. …”
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Sexual dysfunction and other prolactin-related side effects of antipsychotic drugs in schizophrenia: Protocol for a systematic review with single-arm, pairwise, and network meta-an... by Wulf Peter Hansen, Spyridon Siafis, Orestis Efthimiou, Shimeng Dong, Johannes Schneider-Thoma, Stefan Leucht, Karl Heinz Möhrmann, Elfriede Scheuring

“…Pairwise and network meta-analysis of RCTs and NRS will be used to evaluate comparative tolerability. …”
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Sexual dysfunction and other prolactin-related side effects of antipsychotic drugs in schizophrenia: Protocol for a systematic review with single-arm, pairwise, and network meta-an... by Wulf Peter Hansen, Spyridon Siafis, Orestis Efthimiou, Shimeng Dong, Johannes Schneider-Thoma, David D. Kim, Stefan Leucht, Karl Heinz Möhrmann, Elfriede Scheuring

“…Pairwise and network meta-analysis of RCTs and NRS will be used to evaluate comparative tolerability. …”
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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

“…Simulation results show the effectiveness of the proposed approach in minimizing the total network energy consumption, minimizing the average AoI, and satisfying the strict condition of AoI <inline-formula> <tex-math notation="LaTeX">$ &lt; 100$ </tex-math></inline-formula> msec for supporting real-time applications in our network parameter settings.…”
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Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis by Shun-fu JIN, Shi-ying GE, Zhan-qiang HUO

“…By introducing probabilistic feedback mechanism and energy detection threshold to cognitive radio networks,a novel dynamic spectrum allocation strategy is proposed to trade off the throughput and average delay of secondary users,as well as meet various network requirements.Considering the imperfect sensing results of secondary users,a kind of priority queueing model is established,in which two classes of users may interfere with each other,then the state transition probability matrix is constructed.Employing the method of matrix-geometric solution,the stationary distribution of system model is derived.Accordingly,the expressions for the performance measures in terms of channel utilization,throughput of secondary users,average delay of secondary users and interference ratio of primary users are given.With numerical experiments and system simulations,the effectiveness of the proposed dynamic spectrum allocation strategy is verified.Finally,the optimal design of energy detection threshold is provided.…”
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Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis by Shun-fu JIN, Shi-ying GE, Zhan-qiang HUO

“…By introducing probabilistic feedback mechanism and energy detection threshold to cognitive radio networks,a novel dynamic spectrum allocation strategy is proposed to trade off the throughput and average delay of secondary users,as well as meet various network requirements.Considering the imperfect sensing results of secondary users,a kind of priority queueing model is established,in which two classes of users may interfere with each other,then the state transition probability matrix is constructed.Employing the method of matrix-geometric solution,the stationary distribution of system model is derived.Accordingly,the expressions for the performance measures in terms of channel utilization,throughput of secondary users,average delay of secondary users and interference ratio of primary users are given.With numerical experiments and system simulations,the effectiveness of the proposed dynamic spectrum allocation strategy is verified.Finally,the optimal design of energy detection threshold is provided.…”
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Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis by Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim

“…Short-term load forecasts from September 2023 to February 2024 incorporate meteorological and economic factors, achieving a low average MAPE of 1.72 % with the ANN network having sixteen hidden neurons, supporting dynamic grid operations. …”
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Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling by Hyunwoo Kim, Suyeon Jang, Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Sungmin Lee, Matthew BrightSky, Sangbum Kim

“…In this study, a foundation is laid for maximizing the energy efficiency of spiking neural network processors by optimizing internal noise generation mechanisms.…”
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SROR: A Secure and Reliable Opportunistic Routing for VANETs by Huibin Xu, Ying Wang

“…In Vehicular Ad Hoc Networks (VANETs), high mobility of vehicles issues a huge challenge to the reliability and security of transmitting packets. …”
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Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling by Bo Li, Yaohua Liao, Siyang Liu, Chao Liu, Zhensheng Wu

“…To improve the prediction accuracy, this paper proposes a short-term power load-forecasting model of a regional power grid based on multi-source parameter coupling with a long short-term memory neural network (LSTM) and adopts an improved particle swarm optimization (IPSO) algorithm to optimize the LSTM network. …”
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Coal wall deformation monitoring and concentrated load inversion technology based on intelligent support devices by YU Xiang, WANG Guofa, WANG Jiachen, LI Lianghui, WU Haoyang, WANG Yubing

“…The FBG was innovatively embedded into the hydraulic support shield plate, and a concentrated load inversion model for the coal wall based on Particle Swarm Optimization (PSO)-Radial Basis Function (RBF) neural networks was established to monitor the support conditions of the coal wall. …”
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Irreversibility in non-reciprocal chaotic systems by Tuan Minh Pham, Albert Alonso, Karel Proesmans

“…In this paper, we address this question by developing a stochastic-thermodynamics treatment of complex networks that exhibit chaos. Specifically, we establish an exact relation between the averaged entropy production rate—a measure of irreversibility—and the autocorrelation function for an infinite system of neurons coupled via random non-reciprocal interactions. …”
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Improved Multi-Grained Cascade Forest Model for Transformer Fault Diagnosis by Yiyi Zhang, Yuxuan Wang, Jiefeng Liu, Heng Zhang, Xianhao Fan, Dongdong Zhang

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Business process analysis of university admissions: Combining TM Forum’s eTOM framework, discrete-event simulation, and queuing theory by Konstantin M. Terentyev, Leyla D. Abuzyarova, Irina A. Kochetkova, Konstantin E. Samouylov

“…The approach integrates discrete-event simulation (DES) and queueing network analysis, providing detailed process modeling and analytical solutions for assessing the average execution time. …”
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Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

“…This research initiates a variety of regression models, including multiple linear regression (MLR), artificial neural network (ANN), decision tree regression (DTR), and random forest regression (RFR). …”
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