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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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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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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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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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

“…Med-VQA, as a classification task, is typically more challenging for algorithms to predict answers to open-ended questions than to closed-ended questions due to the larger number of answer categories for the former. …”
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Robust fully distributed file caching for delay-tolerant networks: A reward-based incentive mechanism by Sidi Ahmed Ezzahidi, Essaid Sabir, Sara Koulali, El-Houssine Bouyakhf

“…Then, we propose three fully distributed algorithms to ensure convergence to the Nash equilibria (for both pure equilibrium and mixed equilibrium). …”
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Refining the prediction of user satisfaction on chat-based AI applications with unsupervised filtering of rating text inconsistencies by Hae Sun Jung, Jang Hyun Kim, Haein Lee

“…Subsequently, the authors conduct supervised sentiment analysis using various machine learning and deep learning algorithms. The experimental results confirm the effectiveness of the proposed approach showing improvement in prediction accuracy with cost efficiency. …”
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The Video Manipulation Effect (VME): A quantification of the possible impact that the ordering of YouTube videos might have on opinions and voting preferences. by Robert Epstein, Alex Flores

“…In 2018, a YouTube official revealed that 70% of the time people spend watching videos on the site, they are watching content that has been suggested by the company's recommender algorithms. If the findings in the present study largely apply to YouTube, this popular video platform might have unprecedented power to impact thinking and behavior worldwide.…”
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Handling Multiple-Fuel Options in Economic Dispatch of Thermal Power Plants Through a Tight Model Applying Indicator Variables by Hossein Sharifzadeh

“…Furthermore, the proposed approach generally outperforms earlier algorithms in terms of solution quality and robustness. …”
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