OXITEST as a Screening Method to Evaluate Antioxidant Agents: A Study of Oxidative Stability of Fishmeal by Miguel Albrecht-Ruiz, Jordan Vito-Villa, Pedro Cueva Martínez, Alberto Salas-Maldonado

“…Initial results demonstrated oxygen consumption in FM samples, although the inflection point (IP) was not detected. In a second step, after optimizing the sample volume (50 g), temperature (80°C), and time (4 h), oxygen consumption was evaluated by OXITEST in FM samples with increasing concentrations of ethoxyquin, demonstrating an inverse correlation between concentrations of ethoxyquin and oxygen consumption (Pearson’s linear). …”
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Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…Artificial intelligence (AI) is applied to develop the areas of malicious domain recognition and hindrance by the probability to improve robust, efficient, and scalable malware detection units. AI methods have expressed significant results in malicious domain detection. …”
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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

“…In this paper, a method is presented that uses meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, artificial bee colony and gray wolf to find the optimal hyperparameters for the deep learning network and the intrusion detection system is created based on these hyperparameters. …”
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Simulated fire observables as indicators for optimizing wireless sensor networks in wildfire risk monitoring by Juan Luis Gómez-González, Effie Marcoulaki, Alexis Cantizano, Myrto Konstantinidou, Raquel Caro, Mario Castro

“…This work presents a simulation-driven optimization framework for localizing WSNs to enhance early wildfire detection and minimize potential damage. …”
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A Bootstrapping Convolutional Neural Network Technique for Optimizing Automated Detection of Equatorial Plasma Bubbles by Optical All‐Sky Imagers by Daniel Okoh, Claudio Cesaroni, Babatunde Rabiu, Kazuo Shiokawa, Yuichi Otsuka, Samuel Ogunjo, Aderonke Akerele, John Bosco Habarulema, Bruno Nava, Yenca Migoya‐Orué, Punyawi Jamjareegulgarn, Adeniran Seun, Ogechi Adama, George Ochieng, James Ameh, Adero Awuor, Paul Baki

“…This study presents a novel bootstrapping convolutional neural network (CNN) approach to optimize automated EPB detection on ASI images for operational space weather monitoring applications, and overcoming challenges related to image variability and imbalanced data sets. …”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

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A novel lightweight deep learning framework using enhanced pelican optimization for efficient cyberattack detection in the Internet of Things environments by Yaozhi Chen, Yan Guo, Yun Gao, Baozhong Liu

“…To counter these challenges, the current study proposes a hybrid model incorporating an efficient convolutional neural network (CNN) and an enhanced pelican optimization algorithm (EPOA) to detect IoT network attacks. …”
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Numerical Optimization of Non-destructive Ultrasonic Testing in Identifying Defects in Composite Structure of Pine Tree Trunk by Mohammadreza Sheakholeslami, Mahdi Bayat Kazazi, Abbas Amoochi, Siamak Mazdak, Mohammad Reza Ghaderi, Mehdi Zeighami Salimabad

“…So, the location of the defects is detected according to the amplitude of signals received in three points according to the method described in the paper. …”
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High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…The DL model integrates the Particle Swarm Optimizer-Gated Recurrent Unit Layer-Generative Adversarial Network-Intrusion Detection System classifier (PSO-GRUGAN-IDS). …”
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A bio-inspired framework for apple leaf disease detection: Integrating lesion localization, ant colony optimization, and machine learning by Xiaolong Li, Feifan Huang, Haotian Sun, Jiayu He, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The proposed method comprises five key steps: (1) background removal from leaf images, (2) diseased area detection, (3) extraction of texture, color, and shape features, (4) feature selection using ACO to identify the most informative attributes, and (5) disease classification using a support vector machine (SVM) classifier. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…The main objective of the SAMFL-SCDCOA methodology is to provide an effective method for preventing cyberattacks in real time using FL and advanced optimization algorithms. …”
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An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection by Balachandar Raju, Gayathri Devi K

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Development, Optimization, and Validation of a Quantitative PCR Assay for <i>Borrelia burgdorferi</i> Detection in Tick, Wildlife, and Human Samples by Julie Lewis, Vett K. Lloyd, Gilles A. Robichaud

“…Advancements in detection methods lead to a better surveillance of <i>Borrelia</i> in vectors and hosts, and, ultimately, enhance human and animal health.…”
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Optimization for Rapid Detection of E. coli O157:H7 Using Real-Time Loop-Mediated Isothermal Amplification by Alaleh Valiallahi, Mehdi Zeinoddini, Shirin Jalili

“…Therefore, devising a rapid, highly sensitive, and convenient detection technique for this species is crucial. In this work, we optimized a colorimetric Loop-mediated isothermal amplification (LAMP) for detecting the intimin gene from E. coli O157:H7. …”
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Research on Initial Position Detection of Rotor Magnetic Field for Permanent Magnet Synchronous Motor by WANG Zhengyu, CHEN Jianming, TAN Miao

“…It describes the principle and realization method to detect initial position of rotor magnetic field for permanent magnet synchronous motor with current change rate, and the experimental results in the locked rotor case are given. …”
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Enhanced anomaly network intrusion detection using an improved snow ablation optimizer with dimensionality reduction and hybrid deep learning model by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Sami Saad Albouq, Mutasim Al Sadig

“…The experimental assessment of the EAID-OADRHM approach portrayed a superior accuracy value of 99.46% over existing methods in the anomaly intrusion detection process.…”
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Optimizing Artificial Intelligence Thresholds for Mammographic Lesion Detection: A Retrospective Study on Diagnostic Performance and Radiologist–Artificial Intelligence Discordance... by Taesun Han, Hyesun Yun, Young Keun Sur, Heeboong Park

“…<b>Methods</b>: We retrospectively analyzed 194 mammograms (76 BI-RADS 4A and 118 BI-RADS 4B/4C) using FDA-approved AI software. …”
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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Recently, research on multi-objective optimization algorithms for community detection in complex networks has grown considerably. …”
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Synergistic Impact of Active Case Detection and Early Hospitalization for Controlling the Spread of Yellow Fever Outbreak in Nigeria: An Epidemiological Modeling and Optimal Contro... by Nawaf L. Alsowait, Mohammed M. Al-Shomrani, Ismail Abdulrashid, Salihu S. Musa

“…We employ advanced mathematical techniques, including next-generation matrix methods, to accurately compute the reproduction number and assess outbreak transmissibility. …”
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Fabrication and validation of a new device for measuring the radiation dose in ethanol-chlorobenzene dosimeters based on oscillometry method by Shahryar Badiei, Gholamreza Raisali, Amirreza Siminfar, Parisa Taghipour Niar, Elham Edalatkhah, Seyed Mehdi Bathaei

“…Various components of the device including measuring cell, analog and digital circuits were designed, simulated, optimized and verified. The measuring cell was manufactured to maximize the sensitivity in detecting changes in the conductivity of the ECB solution inside the ampoules. …”
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