DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…Cardio Vascular Diseases (CVDs) are one of the most prevalent causes of death in the world and require an appropriate early detection method that could satisfactorily integrate diversified patient data available in today's healthcare. …”
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Optimization of variable-speed weighing detection and intelligent regulation device for seeding amount in rice seedling trays by Xihong HU, Xu MA, Yuwei WANG, Xicheng WANG, Lei ZHONG, Suiyan TAN

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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. Inspired by principles of randomization-based learning, our approach incorporates elements of stochastic modeling within the CNN-RBF architecture to optimize feature extraction and classification, mirroring the efficiency of non-iterative training processes. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…This study proposes a detection-tracking scheme based on improved YOLOv8s-GOLD-LSKA with optimized DeepSort, aiming to enhance yield estimation accuracy in complex agricultural field scenarios. …”
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Satellite-based detection of deep-convective clouds: the sensitivity of infrared methods and implications for cloud climatology by A. Z. Kotarba, I. Wojciechowska

“…Results indicate that even with optimal parameter configurations, DCC detection accuracy remains moderate and is below 75 % (Cohen's <span class="inline-formula"><i>κ</i></span> <span class="inline-formula">&lt;</span> 0.4) for all methods. …”
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Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process by Yixuan Xie, Zhiqiang Liu, Yinqi Li, Yueyue Zong

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Optimization of Beamforming and Transmit Power Using DQN and Comparison With Traditional Techniques by Parmida Geranmayeh, Eckhard Grass

“…These technologies enhance wireless communication by leveraging deep neural networks and data-driven methods to optimize resource allocation, signal detection, and channel coding. …”
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A quick-to-implement and optimized CRISPR-Cas9 protocol to obtain insertional and small indel mutants in Chlamydomonas reinhardtii by Mariano A. De Silvio, Camila Sánchez-Retuerta, M. Águila Ruiz-Sola, Olga Baidukova, Elena Monte

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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

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Methods for the detection of tumor-specific single nucleotide somatic mutations in plasma cDNA samples by L. M. Dyakov, O. M. Krivtsova, P. A. Khesina, I. F. Kustova, N. A. Dyakova, N. S. Muge, N. E. Kudashkin, Yu. I. Patyutko, N. L. Lazarevich

“…Liquid biopsy is considered as a minimally invasive method of molecular genetic analysis that can be used for early diagnosis, prognosis of disease development, monitoring of residual disease or treatment outcomes, and selection of optimal drug therapy schemes for a patient. …”
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Anthropogenic influence on the frequency of extreme temperatures in China by Chunhui Lu, Ying Sun, Hui Wan, Xuebin Zhang, Hong Yin

“…We used an optimal fingerprinting method to compare these temperature indices computed from a newly homogenized observational data set with those from simulations conducted with multiple climate models that participated in the Coupled Model Intercomparison Project Phase 5. …”
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Online Estimation and Control Method of Optimal Slip Ratio for Vehicle With an Electric Power-Assisted Brake System by Lei Chen, Yuchao He, Tangtang Ma, Shengshi Zhong

“…Additionally, decision tree is employed to detect the road surface change, with the sample data elimination and compensation methods, achieving less lag in road surface adaptation for optimal slip ratio estimation. …”
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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…Furthermore, the Faster R-CNN model is used for the object detection process. Moreover, the EATBP-ODHOA method utilizes fusion models such as ResNet and DenseNet-201 for the feature extraction process. …”
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Monitoring the production of FRP composites: A review of in-line sensing methods by S. Konstantopoulos, E. Fauster, R. Schledjewski

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Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

“…Furthermore, to improve the detection of gradual faults, artificial intelligence-based fault detection methods were also explored. …”
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Spectrophotometric and cloud point extraction methods to detect Quercetin Dihydrate in supplement formulations and urine samples by Sadeem Subhi Abed, Mayasa Mansour Mohammed

“…The CPE method significantly improved the sensitivity of QRC detection, reducing the LOD from 0.0351 μg/mL (without CPE) to 0.0234 μg/mL (with CPE). …”
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Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation by Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…By leveraging the classifier to condense sensor data and applying anomaly detection to its output, the system optimizes the decision reliability. …”
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Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging by Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia

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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Further, research is needed to create robust, efficient techniques that generalize datasets and detect anomalies in complex industrial images. The outcome of this study focuses on various AD methods from 2019 to 2023. …”
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