An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data by S. K. B. Sangeetha, Sandeep Kumar Mathivanan, V. Muthukumaran, Jaehyuk Cho, and Sathishkumar Veerappampalayam Easwaramoorthy

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Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

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Artificial neural network model using Levenberg Marquardt algorithm to analyse transient flow and thermal characteristics of micropolar nanofluid in a microchannel by Pradeep Kumar, Felicita Almeida, Ajaykumar AR, Qasem Al-Mdallal

Subjects: “…Artificial neural network…”
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AI-Driven Predictions of Mathematical Problem-Solving Beliefs: Fuzzy Logic, Adaptive Neuro-Fuzzy Inference Systems, and Artificial Neural Networks by Seda Göktepe Körpeoğlu, Ahsen Filiz, Sevda Göktepe Yıldız

“…Three different artificial intelligence models (fuzzy logic, artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS)) were developed, and artificial data were obtained. …”
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Sistem Klasifikasi Jenis Sampah Berdasarkan Kombinasi Fitur Warnac Tekstur Menggunakan Artifical Neural Network Berbasis Pengolahan Citra Digital by Rezki Nurul Jariah S.Intam, Ahmad Raihan, Muh Alfajri, Andi Baso Kaswar, Dyah Darma Andayani, Asnidar

“…Oleh karena itu, pada penelitian ini dilakukan implementasi teknologi pengolahan citra digital untuk pemilahan sampah menggunakan metode Artifical Neural Network. Adapun metode yang diusulkan terdiri atas enam tahap yaitu, tahap akuisisi citra, preprocessing, segmentasi, morfologi, ekstraksi fitur, dan klasifikasi berdasarkan model jaringan syaraf tiruan yang telah dilatih. …”
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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

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Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays by Lili Zhao, Yongkun Li

“…Some sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of weighted pseudo-almost periodic solutions to a class of neutral type high-order Hopfield neural networks with distributed delays by employing fixed point theorem and differential inequality techniques. …”
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Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement by Weidong He, Xiaojing Yin, Yubo Shao, Dianxin Chen, Jianglong Mi, Yang Jiao

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Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration by Qiang Gao, Yuanlong Hou, Kang Li, Zhan Sun, Chao Wang, Runmin Hou

“…In the NNADRC, the radial basis function (RBF) neural network is employed for online updating of parameters of the extended state observer (ESO). …”
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Arouse-Net: Enhancing Glioblastoma Segmentation in Multi-Parametric MRI with a Custom 3D Convolutional Neural Network and Attention Mechanism by Haiyang Li, Xiaozhi Qi, Ying Hu, Jianwei Zhang

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Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion by Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang

“…For the problem of a relatively discrete and nonlinear relationship of measured stress in the Yebatan Hydropower Station area, a new in situ stress inversion method called the local stress field correction (LSFC) method combining a genetic algorithm (GA), backpropagation (BP) neural network, and submodel method is proposed. The inverted in situ stress results produced by this method show that the distribution of in situ stress is greatly influenced by tectonic movements in the Yebatan area, there is no obvious linear relationship with depth, and the stress release phenomenon occurs at the faults. …”
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Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax by Diego A. Ramos-Briceño, Alessandro Flammia-D’Aleo, Gerardo Fernández-López, Fhabián S. Carrión-Nessi, David A. Forero-Peña

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Predicting the Impact of Multiwalled Carbon Nanotubes on the Cement Hydration Products and Durability of Cementitious Matrix Using Artificial Neural Network Modeling Technique by Babak Fakhim, Abolfazl Hassani, Alimorad Rashidi, Parviz Ghodousi

“…In this study the feasibility of using the artificial neural networks modeling in predicting the effect of MWCNT on amount of cement hydration products and improving the quality of cement hydration products microstructures of cement paste was investigated. …”
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Social media network public opinion emotion classification method based on multi-feature fusion and multi-scale hybrid neural network by Yuan Yao, Xi Chen, Peng Zhang

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Designing an intelligent dynamic model of preventive maintenance and repairs in the textile and clothing industry in interaction with production using fuzzy-artificial neural network. by Mehrdad Javadi, shahram Fatemi, Amir Azizi, Esmaeil Najafi

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Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature by Ahmad M.A. Malkawi, Zuhour A.B. Alsaqqa, Tareq O. Al-Mosa, Wa'el M. JadAllah, Mohannad M.H. Sadeddin, Ayman Al-Quraan, Mohammad AlMashagbeh

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Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing Models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

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Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques by Phan Thi Huong, Lam Thanh Hien, Nguyen Minh Son, Huynh Cao Tuan, Thanh Q. Nguyen

“…This study introduces significant improvements in the construction of deep convolutional neural network models for classifying agricultural products, specifically oranges, based on their shape, size, and color. …”
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Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in transmission lines by Abdul Yussif Seidu, Elvis Twumasi, Emmanuel Assuming Frimpong

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Mid‐Latitude Study of Ionospheric Variation Over Iran Associated With Equatorial Ionization Anomaly (EIA), and Artificial Neural Networks Model Development by M. Vazifehkhah Hafteh, A. Mahmoudian, A. Yoshikawa, K. Girgis

“…Employing Artificial Neural Networks (ANN) for local TEC prediction, Iran is segmented into eight regions based on GNSS receiver distribution. …”
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