DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…This suggested framework leverages an attention-based convolutional neural network (CNN) and a genetic algorithm (GA) to enhance detection accuracy while optimizing the hyperparameters of the proposed model. …”
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Comparative Analysis of Force-Sensitive Resistors and Triaxial Accelerometers for Sitting Posture Classification by Zhuofu Liu, Zihao Shu, Vincenzo Cascioli, Peter W. McCarthy

“…Further analysis of KNN hyperparameters revealed that the city block metric with K = 3 yielded optimal classification results. …”
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Human Action Recognition Based on The Skeletal Pairwise Dissimilarity by E.E. Surkov, O.S. Seredin, A.V. Kopylov

“…Additionally, we prepare a data for training, determine an optimal hyperparameters of the neural network model. Experimental results of human activity recognition on the TST Fall Detection v2 database using the Leave-one-person-out procedure are provided. …”
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Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization by Venkata Nagaraju Thatha, M. Ganesh Karthik, Venu Gopal Gaddam, D. Pramodh Krishna, S. Venkataramana, Kranthi Kumar Lella, Udayaraju Pamula

“…HOA is employed to fine-tune hyperparameters, ensuring optimal model performance. The proposed approach is evaluated on benchmark datasets (BreakHis and BACH), achieving a classification accuracy of 99.60%, surpassing existing state-of-the-art models. …”
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Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence by Xuezhi Zhou, Jing Dai, Yizhan Lu, Qingqing Zhao, Yong Liu, Chang Wang, Zongya Zhao, Chong Wang, Zhixian Gao, Yi Yu, Yandong Zhao, Wuteng Cao

“…The cluster number and other hyperparameters were optimized by a nested cross-validation method. …”
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Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks by Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie

“…Abstract An accurate Engine Misfire Detection diagnosis ensures the engine runs well and reduces emissions. …”
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Biases from Missing a Small Planet in High Multiplicity Systems by C. Alexander Thomas, Lauren M. Weiss, Matthias Y. He

“…In an era when we are charting multiple planets per system, one might wonder the extent to which “missing” (or failing to detect) a planet can skew our interpretation of the system architecture. …”
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Bayesian optimized deep learning and ensemble classification approach for multiclass plant disease identification by Silpa Padmanabhuni, Pradeepini Gera

“…Abstract Early detection of plant diseases is crucial in smart agriculture to prevent significant crop losses and reduce reliance on chemical pesticides. …”
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A Deep Learning Approach to Classify AI-Generated and Human-Written Texts by Ayla Kayabas, Ahmet Ercan Topcu, Yehia Ibrahim Alzoubi, Mehmet Yıldız

“…Four experiments were conducted, varying hyperparameters such as dropout rate, number of epochs, embedding size, and patch size. …”
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Retinal fundus imaging-based diabetic retinopathy classification using transfer learning and fennec fox optimization by Indresh Kumar Gupta, Shruti Patil, Supriya Mahadevkar, Ketan Kotecha, Awanish Kumar Mishra, Joel J.P.C. Rodrigues

“…Fennec Fox Optimization (FFO) fine-tunes the GRU hyperparameters, boosting classification accuracy, with its effectiveness demonstrated on benchmark datasets. 3. …”
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Fourier–Bessel Series Expansion and Empirical Wavelet Transform-Based Technique for Discriminating Between PV Array and Line Faults to Enhance Resiliency of Protection in DC Microg... by Laxman Solankee, Avinash Rai, Mukesh Kirar

“…In order to enhance the efficacy of the bagging tree-based ensemble classifier, Artificial Gorilla Troop Optimization (AGTO) has been used to tune the hyperparameters. The hybrid protection approach is proposed for accurate fault detection, discrimination between scenarios (source-side fault and line-side fault), and classification of various fault types (pole–pole and pole–ground). …”
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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

“…In the clinical domain, skin lesions such as melanoma detection are still a challenge due to occlusions, poor contrast, poor image quality, and similarities between skin lesions. …”
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A novel framework for identifying fishing grounds from AIS data containing vessels of unknown types by Changhai Huang, Jialong Kong, Jian Zheng, Yuli Chen, Jingen Zhou

“…To address the issue of precisely identifying fishing grounds in vast sea areas, this study proposes a framework that includes a fishing behavior detection model and a fishing ground identification model, considering vessels of unknown types. …”
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Application of Deep Neural Networks in Recognition of Selected Types of Objects in Digital Images by Artur Babiarz, Michał Bugaj

“…Various learning techniques, network architectures, and hyperparameters were analyzed to optimize the detection quality. …”
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DGA malicious domain name identification based on XGBoost and particle swarm optimization algorithm by CHEN Zesheng, ZHOU Min, FENG Lichun, CHEN Weijie

“…Domain generation algorithms (DGA) have become a common method of network attacks. To enhance the detection capability for DGA malicious domains, a method for malicious domain identification based on XGBoost and particle swarm optimization (PSO) algorithms was proposed. …”
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Explainable hybrid transformer for multi-classification of lung disease using chest X-rays by Xiaoyang Fu, Rongbin Lin, Wei Du, Adriano Tavares, Yanchun Liang

“…The LungMaxVit shows the robust results and generalization in detecting multiple lung lesions and COVID-19 on Chest X-ray images.…”
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Fractal Neural Network Approach for Analyzing Satellite Images by Volodymyr Shymanskyi, Oleh Ratinskiy, Nataliya Shakhovska

“…Satellites play a critical role in modern technology by providing images for various applications, such as detecting infrastructure and assessing environmental impacts. …”
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Predicting future occlusion or stenosis of lower extremity bypass grafts using artificial intelligence to simultaneously analyze all flow velocities collected in current and previo... by Xiao Luo, PhD, Fattah Muhammad Tahabi, BS, Dave M. Rollins, RVT, Alan P. Sawchuk, MD

“…Then, we applied 10-fold cross-validation on training to optimize the hyperparameters and compared models using the test data. …”
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Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network. by Minan Tang, Hongjie Wang, Jiandong Qiu, Zhanglong Tao, Tong Yang

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”
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Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

“…The proposed approach is readily deployable within real-time monitoring systems, offering a reliable and interpretable solution for intelligent risk detection and early warning in cementing operations.…”
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