Rapid diagnosis of latent and active pulmonary tuberculosis by autofluorescence spectroscopy of blood plasma combined with artificial neural network algorithm by Fengjiao Yue, Si Li, Lijuan Wu, Xuerong Chen, Jianhua Zhu

“…The fluorescence spectra of blood plasma from 18 healthy volunteers, 12 individuals with latent TB infections and 80 active TB patients are measured and analyzed. By optimizing the ANN structure and activation functions, the ANN three-classification model achieves average classification accuracy of 96.3 %, and the accuracy of healthy persons, latent TB infections and active TB patients are 100 %, 83.3 % and 97.5 %, respectively, which is much better than the results of traditional Principal component analysis (PCA) and Linear discriminant analysis (LDA) method. …”
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Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients by Yinan Wang, Yinan Wang, Lizhou Gong, Yang Zhao, Yewei Yu, Hanxu Liu, Xiao Yang

“…This paper proposes a Multi-scale Frequency domain Feature-based Dynamic graph Attention Network (MFF-DANet) for upper limb MI decoding in hemiplegic patients. …”
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An artificial neural network constitutive model to predict high temperature flow behaviour in 18Ni(250) maraging steel by Shucong Xu, Lin Yuan, Debin Shan

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Optimizing the interaction of service robots in elderly care institutions using multi-modal emotion recognition system based on transfer learning by Yongguan Ai, Yuanjun Zhang, Juan Wang, Nianfang Xu

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Sistem Kontrol Perangkat Inframerah Menggunakan Speech Recognition dengan Spectrogram dan Convolutional Neural Network Berbasis Mikrokontroler by Irfan Muzakky Nurrizqy, Barlian Henryranu Prasetio, Rekyan Regasari Mardi Putri

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Deep learning-based multi-brain capsule network for Next-Gen Clinical Emotion recognition using EEG signals by Ritu Dahiya, Mamatha G, Shila Sumol Jawale, Santanu Das, Sagar Choudhary, Vinod Motiram Rathod, Bhawna Janghel Rajput

“…Additionally, a capsule network module was introduced to optimize the number of capsules entering the dynamic routing mechanism, improving computational efficiency. …”
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Artificial Neural Network Modelling of Photodegradation in Suspension of Manganese Doped Zinc Oxide Nanoparticles under Visible-Light Irradiation by Yadollah Abdollahi, Azmi Zakaria, Nor Asrina Sairi, Khamirul Amin Matori, Hamid Reza Fard Masoumi, Amir Reza Sadrolhosseini, Hossein Jahangirian

“…According to the indicator, the QP-4-8-1, IBP-4-15-1, BBP-4-6-1, and LM-4-10-1 were selected as the optimized topologies. Among the topologies, QP-4-8-1 has presented the minimum RMSE and absolute average deviation as well as maximum R-squared. …”
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Combined application of life cycle assessment and neural network model for modeling energy and environmental emissions in sugar beet production by Imane Mehdi, Abdelhalim Chmarkhi, Mohammed Ammari, Laïla Ben Allal

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Neural network prediction of MHD thermo-solutal natural convection in ternary hybrid nanofluids within a curved enclosure by Saleh Mousa Alzahrani, Talal Ali Alzahrani, Imtiaz Ali Shah

“…An artificial neural network (ANN) model is developed to investigate the influences of these parameters on the thermal and solute transport properties of THNF. …”
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Smart Nutrient Solution Temperature Control System for Oversummering Lettuce Cultivation Based on Adaptive Dung Beetle Optimizer-Fuzzy PID by Yuliang Cai, Zelan Zhao, Wenzhong Guo, Hailing Xu, Yunfei Teng, Xiaobei Han, Qian Zhao, Lichun Wang

“…System performance tests in the summer greenhouse demonstrated that with a setpoint of 22 °C, the DBO-Fuzzy PID optimized nutrient solution temperature control system maintained an average temperature of 21.98 °C, closer to the target value and exhibiting better adaptability to high-temperature environments compared to traditional PID control. …”
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MPN-RRT*: A New Method in 3D Urban Path Planning for UAV Integrating Deep Learning and Sampling Optimization by Yue Zheng, Ang Li, Zihan Chen, Yapeng Wang, Xu Yang, Sio-Kei Im

“…This study proposes a novel framework (MPN-RRT*) that integrates Motion Planning Networks (MPNet) with RRT* to enhance UAV navigation in 3D urban maps. …”
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The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023 by Murat Koçak, Zafer Akçalı

“…Bibliometric and network analysis methods (co-occurrence, co-authorship, and collaboration, etc.) were used to achieve this goal. …”
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DGA domain detection and botnet prevention using Q-learning for POMDP by Y. V. Bubnov, N. N. Ivanov

“…An effective method for preventing the operation of computer network nodes for organizing a botnet is proposed. …”
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Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization by Manash Mahanta, Attaphongse Taparugssanagorn, Kenta Umebayashi

“…Optimal access point (AP) placement inside an industrial layout is important to ensure excellent connectivity. …”
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A Hybrid CT-DEWCA-Based Energy-Efficient Routing Protocol for Data and Storage Nodes in Underwater Acoustic Sensor Networks by Imran Khan, Muhammad Rauf, Atif Jamil

“…The proposed approach demonstrates the utility and potential of bio-inspired optimization techniques to tackle the unique challenges of underwater communication networks.…”
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Effect of External Factors on Trace Element Profile and Biomass of Mustard (Brássica júncea L.) Microgreens: Neural Network Analysis by Yan V. Puhalsky, Nikolai I. Vorobyov, Svyatoslav I. Loskutov, Mariia A. Chukaeva, Ruslan I. Glushakov, Andrew V. Babyka, Denis D. Meshcheriakov, Alla I. Yakubovskaya

“…The neural network analysis of the microelements in mustard microgreens proved effective as a mathematical model for biochemical diagnostics of biomass quality. …”
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High-Precision Indoor Visible Light Positioning Using Deep Neural Network Based on the Bayesian Regularization With Sparse Training Point by Haiqi Zhang, Jiahe Cui, Lihui Feng, Aiying Yang, Huichao Lv, Bo Lin, Heqing Huang

“…Experimental results show that the average localization accuracy optimized by the BR-DNN is 3.40 cm with the diagonal set, while the average localization accuracy is 4.35 cm for the arbitrary set and 4.58 cm for the even set. …”
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Research on the Optimal Scheduling of Multi-Microgrid Double-Layer Game Considering Fair Carbon Trading Strategy in the Green Certificate Trading Market by Shuaibo Zhang, Fei He, Baofeng Li

“…In order to balance the interests of participants in the green certificate market and reduce market transaction risks, this paper adopts the per unit principle to analyze the substantial variation in carbon emissions of each unit in the power-vehicle-heat-supply network coupling system. It establishes a stepped reward and punishment mechanism based on the deviation between the carbon emissions of different units and the average carbon emissions. …”
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Automating the Design of Scalable and Efficient IoT Architectures Using Generative Adversarial Networks and Model-Based Engineering for Industry 4.0 by William Villegas-Ch, Jaime Govea, Diego Buenano-Fernandez, Aracely Mera-Navarrete

“…This work proposes an innovative approach based on integrating generative adversarial networks (GANs), model-based engineering (MBSE), and MATLAB simulations to automate and optimize the design of IoT systems. …”
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Enhancing Real-Time Simulation of the Complexity Natural Gas Pipeline Network Through MLP-Newton Algorithm for High Precision and Reliability by Hankai Zhai, Xinming Song, Xiaoli Wang, Wentao Cui, Yeru Chen, Shuai Wang

“…Aiming at the challenge of high-precision and high-reliability simulation of urban medium- and high-pressure natural gas pipeline networks, the model establishment is analyzed in detail, solution algorithm and optimization process in gas pipeline network simulation, and designs a modeling and solution method that is easy to analyze and implement to solve the complexity problem of existing natural gas pipeline network simulation algorithms. …”
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