An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…Visually impaired persons (VIPs) can utilize the OD approach for detecting problems and recognizing services to offer secure and informative navigation. …”
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Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection by Khandaker Mohammad Mohi Uddin, Md. Tofael Ahmed Bhuiyan, Md. Mahbubur Rahman, Md. Manowarul Islam, Md Ashraf Uddin

“…In this study, we examined a dataset consisting of 541 patient records to enhance the detection of PCOS using advanced machine learning techniques. …”
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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

“…Automatic leaf disease detection approaches help farmers detect diseases without or with less human interference. …”
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Scalable Detection of Underground Water Leaks in Dense Urban Environments Using L-Band SAR and Machine Learning by E. Ali, E. Ali, L. Xie, A. Sani-Mohammed, W. Xu, T. Zayed

“…Features extracted via Gray-Level Co-occurrence Matrix (GLCM) metrics and backscattering coefficients were used to train various machine learning, deep learning, and ensemble learning models, with hyperparameter optimization performed using a grid search algorithm. …”
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DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students by Nasirul Mumenin, Mohammad Abu Yousuf, Madini O. Alassafi, Muhammad Mostafa Monowar, Md. Abdul Hamid

“…In recent years, the detection of depression among university students has become an increasingly critical issue. …”
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Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks by Ayush Khot, Xiwei Wang, Avik Roy, Volodymyr Kindratenko, Mark S Neubauer

“…Using publicly available datasets for jet classification benchmarking, we explore hyperparameter optimizations for EDL applied to the challenge of UQ for jet identification. …”
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Synergizing vision transformer with ensemble of deep learning model for accurate kidney stone detection using CT imaging by Arwa Alzughaibi, Adwan A. Alanazi, Mohammed Alshahrani, Ines Hilali Jaghdam, Abaker A. Hassaballa

“…Many people with kidney stones in the early phase do not detect it as an illness, and it harms the organ gradually. …”
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Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques by Farid Amirouche, Aashik Mathew Prosper, Majd Mzeihem

“…Machine learning systems offer promising solutions by detecting subtle features that non-experts might miss. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…In this study, Harris hawks optimization (HHO) algorithm was employed to optimize known hyperparameters of the random forest (RF) method for detecting multi-element geochemical anomalies related to mineralization occurrences in the Feyzabad district of the Razavi Khorasan province, NE Iran. …”
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Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest by Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…As a result, TS will help RF automatically search optimal hyperparameters and improve the generalization ability. …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…The Ivy algorithm is utilized to optimize the hyperparameters of DBMA. The t-SNE algorithm is employed to visualize features extracted from different network layers of the chatter detection model. …”
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A rapid detection method for egg quality using CARS and SSA⁃XGBoost improved by combining hyperspectral analysis by WANG Linyi, ZOU Qianying, SUN Qiang

“…ObjectiveTo realize non-destructive, accurate, and rapid detection of egg quality.MethodsOn the basis of hyperspectral detection technology, a rapid egg quality detection method combining the bottle sea squirt group algorithm and XGBoost algorithm has been proposed. …”
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Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion by Stefano Frizzo Stefenon, Laio Oriel Seman, Gurmail Singh, Kin-Choong Yow

“…The multi-criteria optimization of the structure by TPE ensures that the appropriate hyperparameters of the you only look once (YOLO) model are used for object detection. …”
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A novel attention based vision transformer optimized with hybrid optimization algorithm for turmeric leaf disease detection by R. Selvaraj, M. S. Geetha Devasena

“…The Hybrid Falcon-Bowerbird Optimization further enhance the convergence speed and fine-tune the hyperparameters to attain improved detection performances. …”
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Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier by Eddie Zhang, Evan Zhang

“…This lightweight AI architecture is successfully deployed on a soft robotic system for real-time gas leak detection. Our proposed architecture is also extensible to other environmental hazard detection situations, such as liquid leaks in the pipelines.…”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…This research presents an Optimizing Cancer Detection using whale optimizer with Deep Learning in Colon and Lung Cancer (OCDWO-DLCLC) model on Biomedical Images. …”
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Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint by Gen Li, Gen Li, Anji Lian, Zidan Yao, Yu Hu, Yu Hu, Guoliang Pang, Guoliang Pang, Taiping Yuan, Taiping Yuan, Zhenhua Li, Xiaohua Huang, Xiaohua Huang, Gang Wang

“…Furthermore, we have comprehensively explored the impact of key hyperparameters on detection performance and robustness to labeling outliers in the training set. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…Over the past decade, a number of anti-phishing tactics have been proposed to detect and reduce these attempts. They are still imprecise and ineffective, though. …”
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An intelligent framework for sarcasm detection in Arabic tweets using deep learning with Al-Biruni earth radius optimization algorithm by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Wafa Sulaiman Almukadi, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…The self-attention bidirectional long short-term memory (SA-BiLSTM) model is utilized for sarcasm detection. The Al-Biruni Earth Radius (BER) model is implemented for the hyperparameter selection process to enhance the performance of the SA-BiLSTM network. …”
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Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer’s Disease in Brain MRI by Marios Pafitis, Maria Constantinou, Chris Christodoulou

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