Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features by Emmanuel Adetiba, Oludayo O. Olugbara

“…This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their “nonensemble” variants for lung cancer prediction. …”
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Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device by salam waley shneen, Rajaa khalaf Gaber, Rasha Saad Salih, Suaad Makki Jiaad

“…The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for the arm rehabilitation device and included building and designing the simulation model and simulation results for the arm rehabilitation device. …”
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Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays by Xinsong Yang

“…By using the coincidence degree theorem and differential inequality techniques, sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general neural networks with time-varying (including bounded and unbounded) delays. …”
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Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays by Kaibo Shi, Hong Zhu, Shouming Zhong, Yong Zeng, Yuping Zhang, Li Liang

“…This paper investigates the problem of dependent stability criteria for neutral type neural networks with mixed time-varying delays. Firstly, some new delay-dependent stability results are obtained by employing the more general partitioning approach and generalizing the famous Jensen inequality. …”
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Adversarial measurements for convolutional neural network-based energy theft detection model in smart grid by Santosh Nirmal, Pramod Patil, Sagar Shinde

“…Electricity or Energy theft detection (ETD) systems utilizing machine learning, particularly those employing neural networks, have high accuracy and have become popular in literature, achieving higher detection performance. …”
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Sandy Soil Liquefaction Prediction Based on Clustering-Binary Tree Neural Network Algorithm Model by Yu Wang, Jiachen Wang

“…The neural network algorithm is a small sample machine learning method built on the statistical learning theory and the lowest structural risk principle. …”
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According to the normal weight, overweight and obese comparison of bioelectric impedance analysis method with the other methods by Evrim Cakmakcı, Fatma Arslan, Hüsamettin Vatansev, Meryem Ayrancı

“…The purpose of this study was to compare of the methods used to assess body composition in normal weight, overweight and obese in adults women. …”
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Short-term power consumption forecasting using neural networks with first- and second-order differencing by Meftah Elsaraiti

“…Recent advancements in machine learning, particularly long short-term memory (LSTM) networks, have addressed some of these limitations by leveraging neural network architectures capable of learning complex temporal dependencies. …”
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Accuracy of Linear Measurements of Galileos Cone Beam Computed Tomography in Normal and Different Head Positions by Mahnaz Sheikhi, Sajad Ghorbanizadeh, Mehrdad Abdinian, Hossein Goroohi, Hamid Badrian

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A Longitudinal fMRI Research on Neural Plasticity and Sensory Outcome of Carpal Tunnel Syndrome by Hao Ma, Yechen Lu, Xuyun Hua, Yundong Shen, Mouxiong Zheng, Wendong Xu

“…Neural Plasticity…”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…With that concern, this work aims to develop an Integrated Model (IM- LTS) for Lung Tumor Segmentation using Neural Networks (NN) and the Internet of Medical Things (IoMT). …”
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Retracted: Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Journal of Electrical and Computer Engineering

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Neural Network Based Vibration Analysis with Novelty in Data Detection for a Large Steam Turbine by K. P. Kumar, K.V.N.S. Rao, K.R. Krishna, B. Theja

“…This paper describes about normal and abnormal vibration data detection procedure for a large steam turbine (210 MW) using artificial neural networks (ANN). …”
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Greenhouse environmental monitoring and control system based on improved fuzzy PID and neural network algorithms by Guan Hongqiang

Subjects: “…backpropagation neural network…”
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A Next-Generation Codebook Evolution Strategy for Massive Arrays Using Deep Neurals Networks by Minwoo Choi, Wonjin Sung

“…The process is operated in an iterative fashion to produce updated versions of the codebook with the reduced return of the loss function at the deep neural network (DNN). The time-varying codebook for each BS automatically reflects the characteristics of a given wireless environment to adapt to its channel and traffic conditions. …”
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Global μ-Stability of Impulsive Complex-Valued Neural Networks with Leakage Delay and Mixed Delays by Xiaofeng Chen, Qiankun Song, Yurong Liu, Zhenjiang Zhao

“…The impulsive complex-valued neural networks with three kinds of time delays including leakage delay, discrete delay, and distributed delay are considered. …”
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New Algorithms Based on the Voronoi Diagram Applied in a Pilot Study on Normal Mucosa and Carcinomas by J. Sudbø, R. Marcelpoil, A. Reith

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Research Progress on Shear Characteristics of Rock Joints under Constant Normal Stiffness Boundary Conditions by Guansheng Han, Fei Xiong, Yu Zhou, Leibo Song, Xingkai Wang

“…The constant normal stiffness (CNS) boundary condition is more representative for the underground engineering, in which the shear-induced dilation is restricted by surrounding rocks, resulting in an increase in the normal stress. …”
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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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The impact of climate change on the epidemiology of fungal infections: implications for diagnosis, treatment, and public health strategies by Mary E. George, Tonisha T. Gaitor, David B. Cluck, Andrés F. Henao-Martínez, Nicholas R. Sells, Daniel B. Chastain

“…Anthropogenic climate change, primarily driven by greenhouse gas emissions, is reshaping ecosystems and creating conditions that affect 58% of all known human infectious diseases, including fungal infections. Specifically, increasing temperatures, changing precipitation patterns, and extreme weather events are influencing fungal growth, distribution, and virulence. …”
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