Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability by Gunadi Widi Nurcahyo, Akbari Wafridh, Yuhandri

“…Anomalies and data unavailability are significant challenges in conducting surveys, affecting the validity, reliability, and accuracy of analysis results. …”
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Examining the impact of implementing routine rotavirus vaccination on the number of paediatric admissions due to diarrhoea and dehydration in Kenyan hospitals: A study using interr... by Samuel Akech, Lucas Malla, Daisy Chelangat, Reuben C. Langat

“…Methods We examined changes in admissions of all clinical cases of DAD before and after introduction of routine vaccination with rotavirus vaccine in July 2014 in Kenya. We use data from 13 public hospitals currently involved in a clinical network, the Clinical Information Network (CIN). …”
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Blood Pressure Classification Using the Method of the Modular Neural Networks by Martha Pulido, Patricia Melin, German Prado-Arechiga

“…Tests are performed with the Levenberg-Marquardt (trainlm) and scaled conjugate gradient backpropagation (traincsg) training methods. The modular neural network architecture is formed by three modules. In the first module we consider the diastolic pressure data; in the second module we use details of the systolic pressure; in the third module, pulse data is used and the response integration is performed with the average method. …”
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Explainable classification of goat vocalizations using convolutional neural networks. by Stavros Ntalampiras, Gabriele Pesando Gamacchio

“…We developed a Convolutional Neural Network (CNN) architecture tailored for classifying goat vocalizations, yielding an average classification rate of 95.8% in discriminating various goat emotional states. …”
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Hyperspectral target detection based on graph sampling and aggregation network. by Tie Li, Hongfeng Jin, Zhiqiu Li

“…To comprehensively utilize the spectral information encapsulated within hyperspectral images and more effectively handle the intricate and irregular structures among pixels in complex hyperspectral data, a novel graph sampling aggregation network model is put forward for hyperspectral target detection. …”
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Kolmogorov–Arnold Finance-Informed Neural Network in Option Pricing by Charles Z. Liu, Ying Zhang, Lu Qin, Yongfei Liu

“…By relying on generated data, we are able to isolate and assess the core capabilities of KAFIN under well-defined theoretical conditions, facilitating a clearer analysis of its performance. …”
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A Methodology for Situation Assessing of Space-Based Information Networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…The proposed method first applies principal component analysis for dimensionality reduction, followed by pre-labeling situational factor data using an improved K-means clustering algorithm. …”
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Research on Hybrid Architecture Neural Networks for Time Series Prediction by Fujin Zhuang, Xiao Chen, Punyaphol Horata, Khamron Sunat

“…To address these challenges, this paper proposes a novel time series prediction model based on Temporal Convolutional Network (TCN), Multi-Layer Perceptron (MLP), and attention mechanism (referred to as “TCN-MLP-Attention”), using daily average price data from the U.S. avocado market from 2015 to 2023. …”
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Forecasting the Sugarcane Yields Based on Meteorological Data Through Ensemble Learning by Sumit Kumar, Millie Pant, Atulya Nagar

“…The developed model incorporates the least absolute shrink and selection operator (LASSO), artificial neural network (ANN), and random forest (RF) as base models alongside random forest regression (RFR) and Ridge regression (RR) as meta-models and utilizes principal component analysis (PCA) and SHAPLEY values to reduce dimensions and explore feature correlations within the dataset. …”
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Integrating information from historical data into mechanistic models for influenza forecasting. by Alessio Andronico, Juliette Paireau, Simon Cauchemez

“…The model was calibrated and tested on 35 years' worth of surveillance data from the French Sentinelles Network, representing the weekly number of patients consulting for ILI over the period 1985-2019. …”
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Automatic Detection and Tracking of Objects of Interest in Video Data with Global Motion by N. A. Obukhova, A. A. Motyko, A. A. Chirkunova, A. A. Pozdeev, E. A. Litvinov

“…In order to ensure stable tracking, several detectors are used simultaneously with the subsequent analysis of the data obtained. The tracking stage involves a detector based on histograms of oriented gradients (HOG), supplemented by a detector based on correlation filtering and motion trajectory prediction based on the Kalman filter.Results. …”
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Blockchain oracles for decentralized agricultural insurance using trusted IoT data by Manoj T, Krishnamoorthi Makkithaya, Narendra V. G., Vijaya Murari T

“…Finally, a performance analysis of smart contract transactions w.r.t average latency, throughput, average CPU utilization and total memory usage is conducted on Ganache and Sepolia test networks. …”
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Yield Impact of Data-Informed Surface Drainage: An On-Farm Case Study by Sagar Regmi, Paul Davidson, Cody Allen

“…In the years after implementation of the data-informed surface drainage approach, Field 1 and Field 2 showed respective increases of 18.3% and 13.9% in average corn yields. …”
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The inversion of the single-stage hydraulic fracture parameters for shale gas well based on the shut-in pressure-drop data: a case of shale gas well in Changning N209 well area by ZHAO Yulong, CUI Qianchen, GAO Shangjun, CHEN Man, ZHENG Chuntao, ZHANG Liehui

“…It utilizes the fractal fracture characterizing fracture network in shale gas wells, and integrates numerical well testing analysis method to achieve the fracture parameter inversion of each single stage, and establishes a workflow for hydraulic fracture parameters inversion based on the pressure-drop data during shut-in fracturing stage. …”
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A secure and imperceptible communication system for sharing co-ordinate data by Ranjeet Bidwe, Sahil Kale, Gautam Khaire, Jay Patankar, Deepak Mane, Suraj Sawant

“…Abstract Military operations call for secure, imperceptible, and reliable communication systems for transmitting highly sensitive data such as geographical co-ordinates. This study proposes a novel hybrid framework combining AES-based encryption and hash-driven multi-image steganography to transmit co-ordinate data over TCP/IP networks securely. …”
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Use of New Methods to Determine the Inputs Effective in Estimating Soil Temperature by Babak Mohammadi

“…In this research, an estimate of the depth of 10 cm in the soil of the Synoptic Station of Tabriz in East Azerbaijan province was carried out using artificial neural network (ANN) and backward vector machine (SVM). Two main component analysis (PCA) and gamma (GT) tests were used for pre-processing data and input data. …”
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Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams by Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon

“…Notably, for beams without stirrups, model predictions closely matched experimental data, with a lower average ratio (1.02) compared to Eurocode (1.65) and ACI (1.58). …”
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Startup Drift Compensation of MEMS INS Based on PSO–GRNN Network by Songlai Han, Jingyi Xie, Jing Dong

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Development of Quizizz-based Learning Media on Basic Computer and Network Subjects by Trully Yetti Puspita, Ganefri Ganefri

“…The data analysis technique uses descriptive analysis techniques to describe the value of validity. …”
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Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks by Xiufeng Wang, Chunmeng Wang, Gang Cui, Qing Yang

“…Existing analytical analysis about link duration in both mobile ad hoc network (MANETs) and VANETs is too complicated to be applied in a practical setting. …”
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