Groundwater fluoride modeling using an artificial neural network: a review by Neeta Kumari, Gaurav Kumar, Saahil Hembrom

“…Inputs are selected through statistical analysis. The modeling process is carried out using the “nntool” in MATLAB software. …”
Get full text

Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

“…The results show that the classification average accuracy, maximum accuracy, and G-mean of the algorithm proposed in this paper are improved by more than 10% on average compared with those of the support vector machine, decision tree, backpropagation (BP) algorithm, extreme learning machine, and weighted extreme learning machine, thus confirming the effectiveness of the proposed method.…”
Get full text

On Characteristics of Symbolic Execution in the Problem of Assessing the Quality of Obfuscating Transformations by Petr D. Borisov, Yury V. Kosolapov

“…It seems that such a justification can be made using machine learning methods, based on feature vectors that describe both static and dynamic characteristics of programs. …”
Get full text

Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices by Valerius Owen, Nico Surantha

“…These are integrated with traditional machine learning models, such as Support Vector Machines, Random Forests, and XGBoost. These models were chosen for their ability to process detailed information from facial landmarks, head poses, PERCLOS, and POM. …”
Get full text

Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…The features were tested using a support vector machine (SVM) on the OpenSARShip and FUSAR-Ship datasets, demonstrating improved results compared to existing handcrafted features in the literature. …”
Get full text

Rapid in vitro method to assemble and transfer DNA fragments into the JCVI-syn3B minimal synthetic bacterial genome through Cre/loxP system by Atsuko Uenoyama, Hana Kiyama, Mone Mimura, Makoto Miyata

“…However, the construction process is challenging and time-consuming due to various issues, including the inhibition of E. coli growth and unexpected recombination, especially with AT-rich DNA sequences such as those found in Mycoplasma genes. …”
Get full text

Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle by Joko Hariyono, Van-Dung Hoang, Kang-Hyun Jo

“…In order to recognize the object, the HOG features are extracted on the candidate region and classified using linear support vector machine (SVM). The HOG feature vectors are used as input of linear SVM to classify the given input into pedestrian/nonpedestrian. …”
Get full text

A Correlative Classification Study of Schizophrenic Patients with Results of Clinical Evaluation and Structural Magnetic Resonance Images by Wen-Lin Chu, Min-Wei Huang, Bo-Lin Jian, Chih-Yao Hsu, Kuo-Sheng Cheng

“…This study utilized joint independent component analysis to process the images of GMV and WMV and incorporated the Wisconsin card sorting test (WCST) and the positive and negative syndrome scale (PANSS) to examine the correlation of obtained brain characteristics. …”
Get full text

Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events by Andrey Skripnikov, Tania Roy, Fehmi Neffati, Melvin Adkins, Marcus Beck

“…Having used several text classification algorithms and feature preprocessing approaches, Support Vector Machine with Bidirectional Encoder Representations from Transformers (BERT) yielded the best cross-validation performance in both accuracy (90%) and versatility (unweighted F1 score of 0.67). …”
Get full text

Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification by Md Takbir Alam, Md Ashibul Islam Khan, Nahian Nakiba Dola, Tahia Tazin, Mohammad Monirujjaman Khan, Amani Abdulrahman Albraikan, Faris A. Almalki

“…For classification, random forest (RF), logistic regression, decision tree (DT), support vector classifier, voting classifier, and K-nearest neighbor were utilized. …”
Get full text

Anomaly classification in IIoT edge devices by Danny Alexandro Múnera-Ramírez, Diana Patricia Tobón-Vallejo, Martha Lucía Rodríguez-López

“…A k-nearest neighbors (KNN), random forest (RF), support vector machine (SVM), and Multilayer Perceptron (MLP) algorithms were trained. …”
Get full text

Emergencies of zoonotic diseases, drivers, and the role of artificial intelligence in tracking the epidemic and pandemics by Akmal Zubair, Rawaha Mukhtar, Hanbal Ahmed, Muhammad Ali

“…The goal of this study is to shed light on the elements that contribute to the appearance and reappearance of zoonotic diseases, as well as the role that artificial intelligence particularly some of the most significant machine learning techniques, such as support vector machine (SVM), logistic regression (LR), Bayesian network, Artificial Neural Networks, Fuzzy Clustering, Poisson Point Process and Deep Denoising Autoencoder to the fight against the various infectious diseases. …”
Get full text

Expert Assessment of a Ratio of Expenses at Construction of Oil Transport Infrastructure in the Arctic by A. G. Tutygin, V. B. Korobov, M. H. Gubaidullin, L. A. Chizhova

“…When assessing the cost of construction and operation of transport infrastructure in the early stages of the investment process, there is a problem in the formalization of some indicators of the factors influencing decision-making. …”
Get full text

A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

“…We first obtain a coarse-grained estimation based on the visualization of wireless signals, which are presented by a vector, making use of fingerprinting methods. Then, we perform a matching process to determine correspondences between two-dimensional pixels and three-dimensional points based on images collected by the smartphone. …”
Get full text

Development of Ai-Based Crop Quality Grading Systems using Image Recognition by Dusi Prerna, Sharma Pooja

“…Crops' quality assessment in the current agricultural environment is still a labour intensive process relying much on human judgment. Often traditional crop grading methods are inconsistent of errors and tend to be inefficient and suboptimal grading results which cause costs. …”
Get full text

Predictive Maintenance in IoT-Monitored Systems for Fault Prevention by Enrico Zero, Mohamed Sallak, Roberto Sacile

“…To address this issue, we propose a novel clustering-based process that identifies potential machinery faults. …”
Get full text

The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…Moreover, the superiority of the model is verified by comparing with the commonly used algorithms such as Support Vector Machine (SVM) and Convolutional Neural Network (CNN). …”
Get full text

Innovative cross-layer defense mechanisms for blackhole and wormhole attacks in wireless ad-hoc networks by Jagadeesan Srinivasan

“…The physical layer handles channel interference, the network layer manages process handling, and the MAC layer oversees bandwidth information and tracks failed transmissions. …”
Get full text

A Post-Quantum Public-Key Signcryption Scheme over Scalar Integers Based on a Modified LWE Structure by Mostefa Kara, Mohammad Hammoudeh, Abdullah Alamri, Sultan Alamri

“…Although a few signcryption schemes exist that combine these operations into a single, more efficient process, they typically rely on complex vector, matrix, or polynomial-based structures. …”
Get full text

A New Grey Box Approach for Friction Modelling of Machine Tool Drives by Adrian Karl Rüppel, Markus Meurer, Thomas Bergs

“…Measurement of the process force in milling is usually conducted by using piezo-electric dynamometers which are costly and reduce the stiffness of the system. …”
Get full text