An exploration of machine learning approaches for early Autism Spectrum Disorder detection by Nawshin Haque, Tania Islam, Md Erfan

“…Similarly, the children dataset demonstrates outstanding results, achieving an mIoU of 100% for Support Vector Classifier and 99.96% for Logistic Regression. Furthermore, all algorithms achieved 100% accuracy on the children (age 4–11) dataset collected from real-world sources. …”
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Risk Assessment for Complex Systems Based on Fuzzy Cognitive Maps: A Case of the Biopharmaceutical Industry by Hadi Abbasian, Reza Yousefi-Zenouz, Abdollah Amirkhani, Masoud Shirzadeh, Akbar Abdollahiasl, Shekoufeh Nikfar, Mohammadreza Siahi-Shadabad, Abbas Kebriaeezadeh

“…The Hebbian learning algorithms were then applied to train the FCM models. …”
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Minimal state models for ionic channels involved in glucagon secretion by Virginia González-Vélez, Amparo Gil, Iván Quesada

“…For estimation of model parameters, we use Monte Carlo algorithms to fit steady-state channel currents. Then, we simulate dynamic ionic currents following experimental protocols.Our aims are 1) To understand the individual ionic channel functioning and modulation that could affect glucagon secretion, and 2) To simulate ionic currents actually measured in voltage-clamp alpha-cell experiments in mice.Our estimations indicate that alpha cells are highly permeable to sodium and potassium which mainly manage action potentials. …”
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A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography by Roseline Oluwaseun Ogundokun, Oluwakemi Christiana Abikoye

“…Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. …”
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Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs by Anitha Veerasamy, Srinivasa Rao Madane, K. Sivakumar, Audithan Sivaraman

“…Since the design securing requires more than two data algorithms, the cost of the system goes up. Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. …”
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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. by Mahade Hasan, Farhana Yasmin, Md Mehedi Hassan, Xue Yu, Soniya Yeasmin, Herat Joshi, Sheikh Mohammed Shariful Islam

“…In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators. …”
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Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management by Menglin Yang, Hao Yu, Lu Bai

“…In real-world implementation, however, the diversity of turn paths exists due to multiple factors such as various vehicle sizes and automation control algorithms. The aim of this paper is to investigate how the variation in left-turn paths affects the feasibility and viability of optimal passing schedules, as well as the safety and efficiency of intersection operation. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…We employed fourteen different anomaly detection algorithms and evaluated their performance using Area Under the Receiver Operating Characteristics (AUCROC) and Area Under the Precision-Recall Curve (AUCPR) metrics. …”
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Explainable Graph Spectral Clustering of text documents. by Bartłomiej Starosta, Mieczysław A Kłopotek, Sławomir T Wierzchoń, Dariusz Czerski, Marcin Sydow, Piotr Borkowski

“…However, the results of such algorithms, when applied e.g. to text documents, are hard to explain to the user, especially due to embedding in the spectral space which has no obvious relation to document contents. …”
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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…By integrating deep learning algorithms, the study seeks to improve the objectivity and accuracy of evaluations, facilitate personalized feedback, and foster innovation in teaching methodologies. …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…Four machine learning algorithms are applied to the finalized feature set to understand the difference between the binary and the multi-class classification problems. …”
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Model-Based Optimization of Velocity Strategy for Lightweight Electric Racing Cars by Mirosław Targosz, Wojciech Skarka, Piotr Przystałka

“…The model itself was tested on the research tracks to tune the model and determine the calculation parameters. The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. …”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…Experimental results show that the proposed network achieves comparable performance to current pancreas segmentation algorithms and outperforms most state-of-the-art liver segmentation methods. …”
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Diagnosis of Coronary Heart Disease via Robust Artificial Neural Network Classifier by Adaptive Synthetic Sampling Approach by Elahe Moradi

“…Also, six artificial intelligence algorithms, including LRC, DTC, RFC, KNNC, SVC, and ANN, have been evaluated on the considered dataset with criteria such as precision, accuracy, recall, F1-score, and MCC. …”
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Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach by Mehdi Dadvar, Saeed Moazami, Harley R. Myler, Hassan Zargarzadeh

“…We utilize market-based negotiation models to develop incentive-based decision-making algorithms relying on innovative notions of “certainty and uncertainty profit margins.” …”
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Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

“…Then, fruit photos are classified using machine learning methods such as KNN, SVM, and C4.5. These algorithms determine if a fruit is damaged or not.…”
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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

“…Methods/Analysis involve a novel combination of Advanced Encryption Standard (AES) and quantum cryptographic algorithms CRYSTALS-Dilithium and CRYSTALS-Kyber within a hybrid blockchain architecture to secure EHRs. …”
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Research on Solving Path of Negative Effect of “Information Cocoon Room” in Emergency by Wei Liu, Wei Zhou

“…By optimizing information ontology, using technology for good governance, promoting algorithmic fairness, and enhancing social stickiness, we help the public break through the shackles and negative effects of the information cocoon and promote the harmonious, stable, and healthy development of the emergency information field.…”
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A Comprehensive Survey on the Integrity of Localization Systems by Elias Maharmeh, Zayed Alsayed, Fawzi Nashashibi

“…Comparative tables summarize strengths and gaps across key criteria, such as algorithms, evaluation methods, sensor data, and more. …”
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Advanced Ai Tools for Predicting Mechanical Properties of Self-Compacting Concrete by AGRAWAL Achal, CHANDAK Narayan

“…The present study utilizes advanced numerical evaluation techniques like Artificial Intelligence (AI), including Support Vector Machines (SVM), Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems with Genetic Algorithms (ANFIS-GA), Gene Expression Programming (GEP), and Multiple Linear Regression (MLR) to develop and compare the predictive models for determination of compressive and tensile strength. …”
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