Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

“…In order to mitigate this issue, we propose an adaptive neural TD algorithm (AdaBNTD) inspired by the superior performance of adaptive gradient techniques in training deep neural networks. Simultaneously, we derive non-asymptotic bounds for AdaBNTD within the Markovian observation framework. …”
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Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System by Subiyanto, Azah Mohamed, Hussain Shareef

“…This paper presents a Hopfield neural network (HNN) optimized fuzzy logic controller (FLC) for maximum power point tracking in photovoltaic (PV) systems. …”
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A Multimodal Convolutional Neural Network Based Approach for DICOM Files Classification. , 2025(1), e70107. by Mabirizi, Vicent, Wasswa, William, Kawuma, Simon

Subjects: “…Multimodal convolutional neural network (CNN)…”
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Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data by Eman Abdelfattah, Shreehar Joshi, Shreekar Tiwari

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Fully automatic reconstruction of prostate high-dose-rate brachytherapy interstitial needles using two-phase deep learning-based segmentation and object tracking algorithms by Mohammad Mahdi Moradi, Zahra Siavashpour, Soheib Takhtardeshir, Eman Showkatian, Ramin Jaberi, Reza Ghaderi, Bahram Mofid, Farzad Taghizadeh-Hesary

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Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach by Cheng Cheng, Elayaraja Aruchunan, Muhamad Hifzhudin Noor Aziz

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OsteoNet—A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network by Abdul Wahab Muzaffar, Farhan Riaz, Muhammad Tahir

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An integrated toolbox for creating neuromorphic edge applications by Lars Niedermeier, Nikil Dutt, Jeffrey L Krichmar

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Satellite-Based Forest Stand Detection Using Artificial Intelligence by Patrik Kovacovic, Rastislav Pirnik, Julia Kafkova, Mario Michalik, Alzbeta Kanalikova, Pavol Kuchar

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CNN Based Automatic Speech Recognition: A Comparative Study by Hilal Ilgaz, Beyza Akkoyun, Özlem Alpay, M. Ali Akcayol

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Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms by Pinjala N Malleswari, Venkata krishna Odugu, T. J. V. Subrahmanyeswara Rao, T. V. N. L. Aswini

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Creating Semantic Learner Groups in Distance Education Using the GraphSAGE approach by Chetoui Ismail, El Bachari Essaid, Ait Lahcen Yassine

Subjects: “…graph neural networks…”
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Learning a Quantum Computer's Capability by Daniel Hothem, Kevin Young, Tommie Catanach, Timothy Proctor

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Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system by Ahmad Alhamood Alarefe, SALAM ALI MAHMOUD, RAED ALCHAREA

Subjects: “…Neural networks…”
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End-to-End Information Extraction from Courier Order Images Using a Neural Network Model with Feature Enhancement by Wei Shen, Han Li, Youbo Jin, Chase Q. Wu

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Modeling and Optimization of Aloe-Vera Static Shearing by Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Methods by Hekmat Rabbani, Rashid Gholami, Negin Sohrabi

“…This study showed that Response Surface Methodology (RSM) is suitable for evaluating optimum conditions in Aloe Vera cutting experiments and is more accurate than the Artificial Neural Network (ANN) method.…”
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Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model. by Zhenhui Liu

“…To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. …”
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Rolling Bearing Fault Diagnosis Based on a Synchrosqueezing Wavelet Transform and a Transfer Residual Convolutional Neural Network by Zihao Zhai, Liyan Luo, Yuhan Chen, Xiaoguo Zhang

Subjects: “…transfer residual convolutional neural network (TRCNN)…”
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A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks by Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta

“…Abstract Background This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. …”
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Application on Online Process Learning Evaluation Based on Optimal Discrete Hopfield Neural Network and Entropy Weight TOPSIS Method by Chuanshuang Hu, Yongmei Ma, Ting Chen

“…Based on the process learning data of a course in a university in China, this study establishes a discrete Hopfield neural network model to classify the test samples. In the process of modelling, the grey correlation analysis method is used to optimize the elements affecting students’ comprehensive evaluation index, and it solves the problem of failure of the model due to the large gap between the factors in the traditional discrete Hopfield neural network model. …”
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