Innovative multi objective optimization based automatic fake news detection by Cebrail Barut, Suna Yildirim, Bilal Alatas, Gungor Yildirim

“…In this study, unlike other studies, a method that enables simultaneous optimization of two criteria (precision and recall) in fake news detection is developed. …”
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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…Bio-inspired methodologies have exhibited significant potential in addressing critical challenges in illness detection across many data types. It seeks to tackle the problem by creating bio-inspired optimization methods to enhance efficient and equitable deep learning for illness diagnosis. …”
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Optimization of Video Heart Rate Detection Based on Improved SSA Algorithm by Chengcheng Duan, Xiangyang Liang, Fei Dai

“…Overall, the experiments indicate that the proposed method significantly improves the effectiveness and accuracy of heart rate detection, achieving a high level of consistency with existing contact-based detection methods.…”
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Optimization Methodology for Meningioma and Acoustic Neuroma Detection Model Based on DCGAN by CHEN Jingcong, RAN Fengwei, ZHANG Haowei, LIU Ying

“…Compared with traditional dataset augmentation methods, the results show that after optimizing the dataset with DCGAN, the accuracy, specificity, and mAP (mean average precision) of the brain tumor detection model increase by 0.014 6, 0.022 4, and 0.030 0 respectively compared to the original dataset, reaching 0.932 8, 0.898 6, and 0.930 0. …”
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Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection by Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang

“…First, the majority of multiobjective BS methods predominantly optimize accuracy in classification tasks, neglecting the emphasis on anomaly detection. …”
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Optimization of the viability PCR for accurate detection of Staphylococcus aureus in food samples. by Mai Dinh Thanh, Gemma Agustí, Anneluise Mader, Francesc Codony

“…Controlling the viable levels of S. aureus is crucial for ensuring food safety. The detection of S. aureus during routine quality control is still primarily conducted using traditional culture-based methods, which are time-consuming and unable to detect viable but non-culturable cells. …”
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LANA-YOLO: Road defect detection algorithm optimized for embedded solutions by Paweł TOMIŁO

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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. by Su Diao, Yajie Wan, Danyi Huang, Shijia Huang, Touseef Sadiq, Mohammad Shahbaz Khan, Lal Hussain, Badr S Alkahtani, Tehseen Mazhar

“…To explore the potential of deep learning, we also optimized and implemented a Bidirectional Long Short-Term Memory (Bi-LSTM) network for lung cancer detection. …”
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Insurance claims estimation and fraud detection with optimized deep learning techniques by P. Anand Kumar, S. Sountharrajan

“…To this extent, it explores the deep learning models like VGG 16 & 19, ResNet 50, and a custom 12 & 15-layer Convolutional Neural Network for accurate estimation of insurance claims and detection of fraud. The proposed work enhanced with Enhanced Hippopotamus Optimization Algorithm (EHOA) combined with a custom 12-layer CNN to optimize the hyperparameters and enhance the performance of the model. …”
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Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…Abstract The ever-growing number of complex cyber attacks requires the need for high-level intrusion detection systems (IDS). While the available research deals with traditional, hybrid, and ensemble methods for network data analysis, serious challenges are still being met in terms of producing robust and highly accurate detection systems. …”
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Abnormal traffic detection based on image recognition and attention-residual optimization by Pengfei Wang, Xinpeng Chen, Jinan Shen, Zhenwu Xu, Fang Liang, Qiuyang Du

“…Consequently, there has been a sharp increase in network attacks, highlighting the need for enhanced network security methods. Network intrusion detection systems play a crucial role in network security. …”
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Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection by Caiguang Zhang, Ruofeng Yu, Shuwen Wang, Fatong Zhang, Shaojia Ge, Shuangshuang Li, Xuezhou Zhao

“…To address these challenges, this paper proposes a lightweight SAR object detection method optimized for edge devices. First, we design an efficient backbone network based on inverted residual blocks and the information bottleneck principle, achieving an optimal balance between feature extraction capability and computational resource consumption. …”
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Detection of single and dual pulmonary diseases using an optimized vision transformer by Almughamisi Naif, Abosamra Gibrael, Albar Adnan, Saleh Mostafa

“…Recently, vision transformers (ViTs) have become a key technique in deep learning, and they have been widely used to detect different diseases from CXRs. This study aimed to adapt and optimize the pre-trained ViT-B16 model to predict and distinguish between single and dual pulmonary diseases whose diagnoses relied only on CXRs. …”
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Non-contact physiological parameter detection based on the crested porcupine optimization by Jianli Pang, Anxue Huang, Qijie Xu, Lanfang Pang

“…The approach addresses limitations of traditional contact-based methods by leveraging radar technology to detect subtle movements caused by breathing and heartbeat, offering a user-friendly solution for applications in healthcare, smart homes, and emergency rescue.The methodology involves preprocessing radar signals to extract phase information, followed by optimization of Variational Mode Decomposition (VMD) using the Crested Porcupine Optimization (CPO) algorithm. …”
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Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

“…In this paper, we have introduced one intelligent method for detection using particle swarm optimization (PSO) and our mathematical formulation. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…To address this challenge, our study presents the “Optimized Random Forest (Opt-Forest),” an innovative ensemble model that combines decision forest approaches with genetic algorithms (GAs) for enhanced intrusion detection. …”
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Optimization of a genetically encoded fluorescent sensor for the detection of 5-HT by XU Mufan, ZHANG Kun, WANG Jingyi, GAO Xinke, CHENG Aobing, ZHANG Peng

“…Objective·To optimize iSeroSnFR, a genetically encoded 5-hydroxytryptamine (5-HT) fluorescent sensor based on bacterial periplasmic binding proteins (PBPs), to enhance its performance for both in vivo and in vitro 5-HT detection.Methods·iSeroSnFR1.2 was engineered by replacing the circularly permuted superfolder green fluorescence protein (cpsfGFP) sequence in iSeroSnFR1.0 with that from the acetylcholine sensor iAChSnFR using Gibson assembly. …”
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METHODS FOR SENTINEL LYMPH NODE DETECTION IN PATIENTS WITH BREAST CANCER by A. D. Zikiryakhodzhaev, T. I. Grushina, M. V. Starkova, L. P. Kazaryan, Yu. I. Volkova, D. V. Bagdasarova, N. V. Ablitsova, N. S. Skreptsova, F. N. Usov

“…Despite a large number of SLN detection methods, the question of the optimal technique is currently debatable.…”
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Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring by Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš

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Interference Suppression for VLC System Based on Optimized Channel Detection Algorithm by Liwei Yang, Ziyang Jin, Jiangtao Zhao, Yue Zhang, Xinyu Li, Boyu Jia

“…In Visible Light Communication (VLC) systems, multipath effects significantly challenge achieving high-quality communication and optimal system performance. The paper introduces the Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technique within an indoor VLC system and presents an optimized channel detection method. …”
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