Optimization of pretreatment conditions for determination of ethyl carbamate content in cheese by GC-MS/MS by LIANG Jianying, TANG Shuo, LIU Lijun, XIE Ruilong, GAO Yujie, HU Xue, LI Cuizhi, LV Zhiyong

“…In this study, an external standard quantitative method for the determination of ethyl carbamate content in cheese by GC-MS/MS was established, the pretreatment conditions of the sample were optimized, and the methodology of the detection method was investigated. …”
Get full text

Pioneering terahertz blood analysis: Hollow-core PCF with optimized sensitivity and low loss. by A H M Iftekharul Ferdous, Md Shahadat Hosen, Kayab Khandakar, Diponkar Kundu, Most Momtahina Bani, Khalid Sifulla Noor, Suchana Aktar Tithi

Get full text

Seamless Optimization of Wavelet Parameters for Denoising LFM Radar Signals: An AI-Based Approach by Talaat Abdelfattah, Ali Maher, Ahmed Youssef, Peter F. Driessen

“…This advancement not only demonstrates a superior denoising capability but also suggests a substantial improvement in radar signal processing, potentially leading to more accurate and reliable radar detections and measurements. The implications of this paper extend beyond modern radar applications, offering a framework for integrating deep learning techniques with traditional signal processing methods to optimize performance across various noise-dominated domains.…”
Get full text

Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies by Salman Ahmed, Nabihah Ahmad, Nasir Ali Shah, Ghulam E. Mustafa Abro, Ardhi Wijayanto, Abdinasir Hirsi, Abdul Rehman Altaf

“…In addition, the study reviews DFA countermeasures that highlight fault detection methods, error detection levels, protection positions, and associated design overheads such as area, frequency, and throughput penalties, with special consideration for resource-constrained IoT devices. …”
Get full text

Pedestrian Re-Recognition Algorithm Based on Optimization Deep Learning-Sequence Memory Model by Feng-Ping An

“…It can help relay tracking and criminal suspect detection in large-scale video surveillance systems. …”
Get full text

Evaluation of Ecosystem Service Capacity Using the Integrated Ecosystem Services Index at Optimal Scale in Central Yunnan, China by Lanfang Liu, Jinliang Wang, Jie Li, Suling He, Yongcui Lan, Fang Liu

“…The average IESI values for CYP were 0.7338 in 2000, 0.6981 in 2005, 0.6947 in 2010, 0.6650 in 2015, and 0.6992 in 2020. (4) A 4500 m × 4500 m grid was identified as the optimal spatial scale for detecting the spatial divergence of comprehensive ecosystem service (CES) in CYP, and relief degree of land surface (RDLS), slope, and the NDVI were the top three drivers based on q‐values. …”
Get full text

An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

“…Extensive simulations on various benchmark problems show that the proposed algorithm drastically reduces the number of function evaluations required to reach an optimal solution compared to existing methods. The algorithm is also tested on the pathfinding problem, the community detection problem, the sparse portfolio problem, and other real-world problems, all of which confirmed the scalability and superiority of the proposed algorithm.…”
Get full text

Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization by Nan Chen, Tie Xu, Mingrui Sun, Chenggui Yao, Dongping Yang

“…It then explores performance enhancement strategies and video feature learning methods for the video transformer, considering 4 key dimensions: input module optimization, internal structure innovation, overall framework design, and hybrid model construction. …”
Get full text

Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…This review explores the significance of integrating high-resolution UAS and satellite imagery via pixel-based, feature-based, and decision-based fusion methods. The study investigates optimization techniques, spectral synergy, temporal strategies, and challenges in data fusion, presenting transformative insights such as enhanced biomass estimation through UAS-satellite synergy, improved nitrogen stress detection in maize, and refined crop type mapping using multi-temporal fusion. …”
Get full text

Development and Optimization of a Cost-Effective Electrochemical Immunosensor for Rapid COVID-19 Diagnosis by Thaís Machado Lima, Daiane Martins Leal, Zirlane Coelho Ferreira, Fernando de Jesus Souza, Danilo Bretas de Oliveira, Etel Rocha-Vieira, Helen Rodrigues Martins, Arnaldo César Pereira, Lucas Franco Ferreira

“…The optimal conditions for virus detection in clinical samples were a 1:10 dilution with a response time of 20 min. …”
Get full text

Abstract 182: Optimal Timeframe from Securing Mycotic Aneurysms to Cardiac Surgery: A Single Center Study by Ethan A. Miller, Anvesh Balabhadra, Smit Patel, Ajay Tunguturi, Charles Bruno, Eric Sussman, Martin Ollenschleger, Tapan Mehta

Get full text

Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques by Bing Yang, Xuyang Liu, Dongfang Zhang, Dongfang Zhang, Xiaofei Fan, Xiaofei Fan, Bo Peng, Jun Zhang, Jun Zhang

“…The MSC-EIAO-RF model demonstrated the best performance, achieving an accuracy of 91.45%, which is 9.04% higher than the MSC-IAO model (82.41%).Validation on four UCI datasets further confirmed the EIAO algorithm's superiority over conventional feature selection methods. These results verify the robustness and generalizability of hyperspectral imaging combined with EIAO for nondestructive seed viability detection, offering an intelligent and efficient solution for seed quality assessment.…”
Get full text

Modeling and optimization of culture media for recombinant Helicobacter pylori vaccine antigen HpaA by Runqing Tan, Song Zhou, Min Sun, Yu Liu, Xiumei Ni, Jin He, Gang Guo, Kaiyun Liu

“…Enhancing the fermentation medium to increase HpaA yield holds significant potential for application and economic benefits in the prevention and detection of H. pylori infection.MethodsTo achieve a stable and high-yielding H. pylori vaccine antigen HpaA, this study constructed recombinant Escherichia coli expressing HpaA. …”
Get full text

Representation Enhancement-Based Proximal Policy Optimization for UAV Path Planning and Obstacle Avoidance by Xiangxiang Huang, Wei Wang, Zhaokang Ji, Bin Cheng

“…Compared to other methods, our method achieves a faster convergence during training and demonstrates a higher success rate and a lower rate of timeout and collision during inference. …”
Get full text

GSF-YOLOv8: A Novel Approach for Fire Detection Using Gather-Distribute Mechanism and SimAM Attention by Caixiong Li, Dali Wu, Xing Zhang, Peng Wu

“…It also focuses on hard samples to reduce the impact of easily misclassified samples, thereby enhancing the model’s performance in complex fire detection. We tested our method on the D-Fire dataset. …”
Get full text

An Operation Adjustment Method for Intercity High Speed Maglev Train by LI Xun, SHI Yangyang, PENG Qin

“…Based on historical operation data and traffic flow, this paper established a framework model for operation adjustment based on optimized train operation diagram. Train collision detection method was used to check the model. …”
Get full text

Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without adequately considering the adverse effect on tracking attributed to the time consuming nature of offline calculation in actual applications. …”
Get full text

A similarity-based multi-objective test optimization technique using search algorithm by Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai

“…Hence, it is required to optimize the test suite by finding a diverse subset of test cases having high code coverage, fault-detection rate, and minimal execution time. …”
Get full text

Evaluation of a Polarimetric Contrast Enhancement Technique as Preprocessing Step for Vessel Detection in SAR Images: Comparison of Frequency Bands and Polarimetric Modes by Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez

“…A key advantage of this method is that it is fully analytical, eliminating the need for numerical optimization and enabling the rapid generation of an enhanced image better suited for automatic detection. …”
Get full text

A novel hybrid model for brain tumor analysis with CNN and Moth Flame Optimization by Mohit Prakram, Kirti Rawal, Arun Singh, Ankur Goyal, Shiv Kant, Shakeel Ahmed, Saiprasad Potharaju

“…Early and accurate detection of brain tumors is vital for improving patient outcomes and treatment decisions. …”
Get full text