Sub-optimal birth spacing and associated factors among mothers of children admitted to therapeutic feeding centers with severe acute malnutrition in Oda Bultum Woreda, Eastern Ethi... by Sultan Feyiso, Tegenu Balcha, Elias Yadeta, Yadeta dessie, Abera kenay Tura

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A study of qualitative correlations between crucial bio-markers and the optimal drug regimen of Type I lepra reaction: A deterministic approach by Nayak Dinesh, Sangeetha Anamalamudi Vilvanathan, Vamsi Dasu Krishna Kiran

“…We use the Newton’s gradient method for the optimal control studies.…”
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Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

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GC–MS/MS–based multiresidue pesticide analysis in mealworm (Tenebrio molitor) larvae: Optimization of standard QuEChERS-based method to minimize matrix effects by Hyun Ho Noh, Chang Jo Kim, So-Hee Kim, Hye-Ran Eun, Yongho Shin, Won Tae Jeong

“…Given the unsuitability of the standard quick, easy, cheap, effective, rugged, and safe (QuEChERS)-based method for multiresidue pesticide analysis in mealworm larvae due to their complex composition and high lipid content, we established a gas chromatography-tandem mass spectrometry–based procedure for the detection and quantitation of 247 pesticides in this matrix. …”
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Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

“…Compared with genetic algorithm integrated particle swarm optimization (CMPSO), particle swarm optimization (PSO) and PSO-TS algorithms, experimental results based on the KDD CUP 99 dataset show that the method reduces the features by about 29.2% , shortens about 15% of the average detection time, and increases about 2.96% of the average classification accuracy.…”
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DMP-KDO-PCLoSA: a LiDAR point cloud visibility analysis method for urban remote sensing using depth map projection and KNN optimization by Jianghong Zhao, Yihong Zhang, Ailin Xu, Xueqing Zhang, Yingyi Zhang, Shuhan Guo

“…Compared to density-based and voxel-based methods, our approach achieves 92.23% visibility detection accuracy (VDA), reduces false detection rates by 1.09%, and decreases computation time by 40%. …”
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Hybrid convolutional neural network and bi-LSTM model with EfficientNet-B0 for high-accuracy breast cancer detection and classification by Umesh Kumar Lilhore, Yogesh Kumar Sharma, Brajesh Kumar Shukla, Muniraju Naidu Vadlamudi, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah

“…Abstract Breast cancer detection remains one of the most challenging problems in medical imaging. …”
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AssayBLAST: A Bioinformatic Tool for <i>In Silico</i> Analysis of Molecular Multiparameter Assays by Maximilian Collatz, Sascha D. Braun, Martin Reinicke, Elke Müller, Stefan Monecke, Ralf Ehricht

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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…Existing methods often struggle to maintain detection accuracy for minority attack classes while dealing with redundant and irrelevant features, leading to degraded model performance. …”
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Design of New Primer Sets for the Development of a Loop-Mediated Isothermal Amplification for Rapid Detection of <i>Neisseria meningitidis</i> by Cuong Viet Vo, Trang Thu Nguyen, Huong Thu Ngo, Lan Anh Thi Bui, Toan Van Trinh, Loan Thi Vu, Hieu Dang Hoang, Phong Quoc Truong

“…A new LAMP primer set was designed, and a LAMP reaction was optimized. The colorimetric detection method was also applied, and the assay characteristics were evaluated using clinical samples. …”
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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

“…Eventually, the improved secretary bird optimizer algorithm (ISBOA)-based hyperparameter choice process is accomplished to optimize the detection results of the MHA-BiGRU model. …”
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Thermal analysis and experimental design of PVDF-trfe-based pyroelectric sensors for infrared applications by Mohamed Behloul, Essaid Bousbiat, Dalila Yamani, Riyadh Bouddou, Nour Eddine Derguini, Ayodeji Olalekan Salau, Djamel Kendil, Sarra Adiche

“…The finite element method (FEM) and analytical models were then used to analyze the specific parameters determining the sensor's performance. …”
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Multi-Frame Joint Detection Approach for Foreign Object Detection in Large-Volume Parenterals by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Experimental results demonstrate that our method achieves a 97% detection rate for contaminated LVP solutions on the LVPD dataset. …”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“…The feature extraction network is optimized to enhance the detection effectiveness for small-sized targets. …”
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Machine learning based intrusion detection framework for detecting security attacks in internet of things by V. Kantharaju, H. Suresh, M. Niranjanamurthy, Syed Immamul Ansarullah, Farhan Amin, Amerah Alabrah

“…Abstract The Internet of Things (IoT) consist of a network of interconnected nodes constantly communicating, exchanging, and transferring data over various network protocols. Intrusion detection systems using deep learning are a common method used for providing security in IoT. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

“…In power inspection, it is crucial to accurately and regularly monitor the status of isolation switches to ensure the stable operation of power systems. However, current methods for detecting the open and closed states of isolation switches based on image recognition still suffer from low accuracy and high edge deployment costs. …”
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Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method by Er Wang, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, Guanglong Ou

“…Compared to the optimal SGBoost model with the Lasso variable selection method (R² of 0.69, RMSE of 18.63 Mg/ha), the VIF-Lasso method improves R² by 0.06 and reduces RMSE by 2.15 Mg/ha, while the Lasso-GA method improves R² by 0.04 and reduces RMSE by 1.93 Mg/ha. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…The proposed methodology combines Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for hybrid feature selection, ensuring the selection of the most relevant features for detecting FDIAs. …”
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Improved method of targeted user interface updates for enhancing the efficiency of web applications based on reactive streams and virtual DOM by M.V. Havatiuk, I.O. Saiapina

“…This article introduces a refined method for selective updating only those components of the interface whose state has actually changed. …”
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The quadruplex TaqMan MGB fluorescent quantitative PCR method for simultaneous detection of feline panleukopenia virus, feline herpesvirus 1, feline calicivirus and feline infectio... by Haojie Wang, Lihong Xue, Longxi Wang, Yixuan Liu, Jianxing Chen, Yue Sun, Tongqing An, Hongyan Chen, Changqing Yu, Changyou Xia, He Zhang

“…After optimizing the concentrations of primers and probes and annealing temperature, a quadruplex TaqMan MGB fluorescent quantitative PCR method was established to concurrently detect these four pathogens. …”
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