Optimized Flexible Microheater With Integrated Electrodes and Microchannel for On-Chip Bacterial Incubation and Electrochemical Detection by Sonal Fande, Khairunnisa Amreen, D. Sriram, Sanket Goel

“…The in-house fabricated microheater has been successfully employed for bacteria culturing at <inline-formula> <tex-math notation="LaTeX">$37~^{\circ }$ </tex-math></inline-formula> C and developing a bacteria-on-chip platform for AMR detection. The microheater performance has been parametrically optimized using Multiphysics simulations and the design of experiments. …”
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Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography by Yilong Zhang, Heyou Yu, Haohao Sun, Yongbo Yao, Haixia Wang, Jian Liu, Yuanjie Dang, Ronghua Liang, Peng Chen

“…This study not only explores the method&#x0027;s effectiveness but also performs parameter analysis and optimization on multiple scales. …”
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Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion by Qiang Wang, Shiyu Guan, Shuchang Lyu, Guangliang Cheng

“…Furthermore, the Neck of the model is optimized with a Focal Modulation module to improve feature fusion, and a variable multi-attention detection head is introduced to refine detection precision. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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AI-optimized electrochemical aptasensors for stable, reproducible detection of neurodegenerative diseases, cancer, and coronavirus by Amira Elsir Tayfour Ahmed, Th.S. Dhahi, Tahani A. Attia, Fawzia Awad Elhassan Ali, Mohamed Elshaikh Elobaid, Tijjani Adam, Subash C.B. Gopinath

“…Leveraging data-driven AI techniques, these sensors provide a non-invasive, cost-effective alternative to traditional methods, with applications in detecting molecular biomarkers for neurodegenerative diseases, cancer, and coronavirus. …”
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Integrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns by Hannah M. Schlüter, Caroline Uhler

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A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

“…This paper concentrated on three basic and significant parts which are payload, quality, and security also introduces a new steganography method by using edge detection method and shark smell optimization to effectively hide data with in images. …”
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Optimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring. by Diponkar Kundu, Nasir Uddin Badhon, A H M Iftekharul Ferdous, Md Safiul Islam, Md Galib Hasan, Khalid Sifulla Noor, Most Momtahina Bani

“…Waterborne bacteria pose a serious hazard to human health, hence a precise detection method is required to identify them. A photonic crystal fiber sensor that takes into account the dangers of aquatic bacteria has been suggested, and its optical characteristics in the THz range have been quantitatively assessed. …”
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Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

“…In the first level, the firefly algorithm (FFA) and the CfsSubsetEval feature section method have been applied to optimize the subset of features, while in the second level, the support vector machine classifier has been used to build the training model for the detection of credit card fraud cases. …”
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Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments by Vishnukumar Ravula, Mangayarkarasi Ramaiah

“…To improve precision, hyperparameter tuning has been done using DAOA. The proposed method offers a feasible solution for identifying the phishing URLs, and the method achieves computational efficiency through the attention mechanism and dynamic hyperparameter optimization. …”
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Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms by Yogita Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Fulzele

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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…Thus, this research aims to develop a fast, cheap, accurate method utilizing an electronic nose (e-nose) and machine learning algorithms as an alternative method for assessing the freshness quality of marine fishery products (seafood). …”
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Vision Gaze-Driven Micro-Electro-Mechanical Systems Light Detection and Ranging Optimization by Shaotang Wei, Bo Gao, Junya Wang, Zheng You

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Boosting Malware Detection with AlexNet and Optimized Neural Networks Using the Grasshopper Algorithm by Mohammed Aswad

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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region by C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh

“…This research focuses on optimizing crop yield prediction in the Davangere region through a thorough analysis of outlier detection algorithms applied to the local agricultural dataset. …”
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Research on the optimization of grouting flow detection sensor layouts based on laser ranging technology by Lichang Wang, Wei Long, Zhanghui Fei, Zhongli Yang, Meng Xu, Lu Wang

“…This work provides a validated framework for sensor layout optimization, enhancing the reliability of laser-based grouting flow detection in practical applications.…”
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Development and Optimization of Micro‐Nanotopographical Platforms for Surface Enhanced Raman Scattering Biomolecular Detection by David Femi Odetade, Jonathan J. S. Rickard, Pola Goldberg Oppenheimer

“…The fabricated SERS substrates are validated by detecting traumatic brain injury biomarkers, effectively yielding the characteristic fingerprint spectra of each neuro‐molecule. …”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…Aiming at the problems of tiny spots, blurred disease edges, and susceptibility to noise interference during image acquisition and transmission in potato leaf diseases, we propose a CBSNet-based potato disease recognition method. Firstly, a convolution module called Channel Reconstruction Multi-Scale Convolution (CRMC) is designed to extract the upper and lower features by separating the channel features and applying a more optimized convolution to the upper and lower features, followed by a multi-scale convolution operation to capture the key changes more effectively. …”
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Two Methods for Detecting PCM Residues in Vegetables Based on Paper-Based Sensors by Jiazheng Sun, Shiling Li, Xijun Shao, Mingxuan Fang, Heng Zhang, Zhiheng Zhu, Xia Sun

“…This study developed a sensitive and rapid immunoassay method utilizing a gold- and fluorescence-labeled monoclonal antibody (mAb) for detecting PCM residues in vegetable samples. …”
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Metastases to Regional Lymph Nodes in Breast Cancer: Current Views of Detection Methods by I. E. Kondrashkin, V. E. Fedorov, V. Y. Barsukov, Y. I. Orlova, L. F. Zhandarova

“…Consequently, the effective detection of metastases within the regional lymphatic system during breast tumor progression is a critical diagnostic component. …”
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