Artificial Neural Networks as Digital Twins for Whispering Gallery Mode Optical Sensors in Robotics Applications by Amir R. Ali, Mohamed W. A. Ramadan

“…Abstract This paper investigates the use of artificial neural networks (ANNs) as a viable digital twin or alternative to the typical whispering gallery mode (WGM) optical sensors in engineering systems, especially in dynamic environments like robotics. …”
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COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays by Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Ljubomir Lazic

“…This paper proposes a new, improved COmmon Software Measurement International Consortium function point (COSMIC FP) method that uses Artificial Neural Network (ANN) architectures based on Taguchi’s Orthogonal Array to estimate software development effort. …”
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Comprehensive deformation study in the new Austrian tunneling technique tunnel utilising artificial neural network model by Shubham Kanojiya, Gopal Krishna Mehta

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Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate by Mohamed Zahoor Ul Huqh, Johari Yap Abdullah, Johari Yap Abdullah, Adam Husein, Adam Husein, Matheel AL-Rawas, Wan Muhamad Amir W. Ahmad, Nafij Bin Jamayet, Mohammad Khursheed Alam, Mohd Rosli Bin Yahya, Siddharthan Selvaraj, Siddharthan Selvaraj, Abedelmalek Kalefh Tabnjh, Abedelmalek Kalefh Tabnjh, Abedelmalek Kalefh Tabnjh

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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…Hence chemometrics based on artificial neural network (ANN) algorithms have become increasingly popular in LIBS analysis due to their extraordinary ability in nonlinear feature modeling. …”
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Newly synthesized 1-butyl-3-methylimidazolium p-toluenesulfonate ionic liquid for acid corrosion of API 5L X70 steel: Experimental, DFT/MD-simulation, statistical and machine learn... by Daniel Iheanacho Udunwa, Okechukwu Dominic Onukwuli, Simeon Chukwudozie Nwanonenyi, Callistus Nonso Ude, Innocent Okechi Arukalam, Remy Uche

“…Statistical technique (response surface methodology (RSM)), artificial neural network-genetic algorithm (ANN-GA), and adaptive neural fuzzy inference system-genetic algorithm (ANFIS-GA) were deployed as an optimization instrument to forecast the percentage inhibition efficiency (% η). …”
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Transforming Neural Networks into Quantum-Cognitive Models: A Research Tutorial with Novel Applications by Milan Maksimovic, Ivan S. Maksymov

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Results: By using RELU activation function and leaving out liquid tumors, our results show a remarkable performance of the neural network in classifying cancer and normal samples when applied to pan-cancer data (Validation AUC = 0.9903 and Validation Loss = 0.112). …”
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Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks by S. Harzallah, R. Rebhi, M. Chabaat, A. Rabehi

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Implementation of a Neural Network for Adaptive PID Tuning in a High-Temperature Thermal System by Juan Carlos Almachi, Ramiro Vicente, Edwin Bone, Jessica Montenegro, Edgar Cando, Salvatore Reina

“…This study proposes an adaptive control strategy combining a classical PID loop with real-time gain updates from a feed-forward artificial neural network (ANN). Implemented on an 18 kW retrofitted Blue-M furnace, the system was characterized by second-order transfer functions for heating and forced convection cooling. …”
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Review of Different Types of Neural Network Architectures by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…Which leads to intelligent computational systems such as artificial neural networks. It is developed so that artificial neurons combined together would behave like a human brain. …”
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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

“…This study compares the effectiveness of a Decision Tree Classifier and an Artificial Neural Network (ANN) in predicting Diabetes Mellitus. …”
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Harvesting Solar Energy: Prediction of Daily Global Horizontal Irradiance Using Artificial Neural Networks and Assessment of Electrical Energy of Photovoltaic at North Eastern Ethi... by Tegenu A. Woldegiyorgis, Abera D. Assamnew, Gezahegn A. Desalegn, Sentayehu Y. Mossie

“…Thus, the objectives of this article were: (i) assessing daily global horizontal irradiance using network types‐activation functions of artificial neural network (ANN); and (ii) evaluating the daily energy delivered to and available on photovoltaic (PV) cells of GaAs at Kemissie, Woldiya, and Hayk, in the northeastern part of Ethiopia. …”
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AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs by Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian

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Net2Brain: a toolbox to compare artificial vision models with human brain responses by Domenic Bersch, Domenic Bersch, Martina G. Vilas, Martina G. Vilas, Sari Saba-Sadiya, Timothy Schaumlöffel, Timothy Schaumlöffel, Kshitij Dwivedi, Christina Sartzetaki, Radoslaw M. Cichy, Radoslaw M. Cichy, Radoslaw M. Cichy, Gemma Roig, Gemma Roig

“…In cognitive neuroscience, the integration of deep neural networks (DNNs) with traditional neuroscientific analyses has significantly advanced our understanding of both biological neural processes and the functioning of DNNs. …”
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Analyzing analytical and software methods for deep foundation analysis and presenting a new solution for determining pile capacity using the PDA test by Ahmad Honarjoo, Vahed Ghiasi

“…In this system, the pile capacity for a chosen number of piles was finally determined by successfully combining a number of neural networks. The suggested system extends earlier neural networks for a comparable function and uses a self-organizing neural network for a set of data in training, testing, and valid datasets. …”
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Integrating weighted gene co-expression network analysis and machine learning to elucidate neural characteristics in a mouse model of depression by Jinli Gao, Qinglang Wang, Jie Liu, Siqian Zheng, Jiahong Liu, Zhiyong Gao, Cheng Zhu

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A hierarchical reinforcement learning approach for energy‐aware service function chain dynamic deployment in IoT by Shuyi Wang, Haotong Cao, Longxiang Yang

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Artificial Neural Network and response surface methodology modeling-based optimization approach for the ultrasonication-assisted extraction of phenolics from mustard (BARI Sharisa-... by Md. Waziur Rahman Chy, Tanvir Ahmed, Robin Sarkar, Md. Zohurul Islam, Md. Rahmatuzzaman Rana

“…Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) multilayer perceptron model were employed to improve reliability, with hyperparameter tuning focused on the number of neurons and activation functions to prevent overfitting. …”
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