Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…Our Dense-ReLU-Dropout model, using RF and PCA for feature selection, achieves high accuracy with greater computational efficiency compared to existing methods that require more complex models or larger datasets. …”
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YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences by Nada Alzahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…This paper introduces YOLO-Act, a novel spatiotemporal action detection model that enhances the object detection capabilities of YOLOv8 to efficiently manage complex action dynamics within video sequences. …”
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Gaseous hydrocarbons absorption by ILs: insights from artificial intelligence strategy by Reyhaneh Alborz, Mohammad Mahmoudnezhad, Alireza Baghban

“…Abstract Accurate prediction of hydrocarbon solubility in ionic liquids (ILs) is essential for optimizing solvent selection and designing efficient chemical processes in industries such as energy production and environmental remediation. …”
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Design and analysis of a single source seven level common ground SC based multilevel inverter topology with high reliability by Md Tahmid Hussain, Adil Sarwar, Md Reyaz Hussan, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Mohammad Zaid, Adamali Shah Noor Mohamed, Baseem Khan

“…Existing multilevel inverter (MLI) topologies often suffer from high voltage stress, increased THD, and complex control requirements. This study aims to design a compact inverter with improved performance metrics, including efficiency, total harmonic distortion (THD), and voltage stress. …”
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An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…The problem statement of this research paper revolves around addressing challenges concerning feature selection and evolving spammer behavior and linguistic features, with the goal of devising an efficient model for spam detection. …”
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SPL-YOLOv8: A Lightweight Method for Rape Flower Cluster Detection and Counting Based on YOLOv8n by Yue Fang, Chenbo Yang, Jie Li, Jingmin Tu

“…First, the model introduces StarNet as a lightweight backbone network for efficient feature extraction, significantly reducing computational complexity and parameter counts. …”
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定中心距齿轮参数优化设计 by 李云鹏, 张科, 邓晓丽

“…Under the constant center distance conditions,according to the use of the transmission system requirements,selection of the appropriate design variables,constraint conditions and the objective function and using the complex method,the tooth parameters optimization design is carried out.Through the program,the optimized tooth parameter is calculated,the design efficiency is improved.…”
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Assessing Cost-Effective Materials for Multi-Functional Crutches: an Integrated MCDM Framework by M. Joshi

“…Material selection significantly impacts crutch performance and durability, posing challenges due to various criteria and complex decision-making in engineering design. …”
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Human genotype-to-phenotype predictions: Boosting accuracy with nonlinear models. by Aleksandr Medvedev, Satyarth Mishra Sharma, Evgenii Tsatsorin, Elena Nabieva, Dmitry Yarotsky

“…In recent years, it has become possible to construct complex predictive models for phenotypes, thanks to the availability of large genome data sets as well as efficient and scalable machine learning tools. …”
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Investigation of difficulties arising in the preparation of natural and indirect gases for transportation by Sardarova Ijabika, Gurbanov Abdulaga, Huseynov Nazim

“…The operating mode of the existing gas preparation units was studied and the efficiency of certain equipment was determined. It has been established that the evaluation of the efficiency of the devices used in the gas industry, the deficiencies in the gas preparation devices are related to the correct selection of the constructive indicators of the devices. …”
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Optimized Navigation for SLAM Using Marker-Assisted Region Scanning, Path Finding, and Mapping Completion Control by Luigi Maciel Ribeiro, Nadia Nedjah, Paulo Victor Rodrigues de Carvalho

“…Specifically, it achieves a 64.39% reduction in poses compared to ACO and 71.07% compared to zigzag navigation, highlighting its efficiency in complex environments.…”
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Integrative Transcriptomic and Target Metabolite Analysis as a New Tool for Designing Metabolic Engineering in Yeast by Alejandro Lopez-Barbera, Nerea Abasolo, Helena Torrell, Nuria Canela, Salvador Fernández-Arroyo

“…Therefore, the use of multi-omics strategies can help in the design, selection and efficiency of genetic editing. In this study, we present a multi-omics approach based on targeted metabolite analysis and transcriptomics for the designing of CRISPR/Cas9 in baker’s yeast as a more efficient strategy to select editing regions. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…At present, there are some problems in multi-path architecture, such as isolated information among paths, low efficiency of feature fusion mechanism, and high computational complexity. …”
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Advances in Beneficiation Processes for Low-grade Bastnaesite-associated Fluorite Resources by Wei YANG, Hongqi TAN, Xiaohong XIA, Zhiyuan XIE, Yingjiang ZHU, Qiang GONG, Yue HU

“…In China, bastnaesite type fluorite resources are primarily formed in rare earth deposits such as the Bayan Obo and Maoniuping regions, characterized by "low-grade, fine-grained dissemination, and complex mineral paragenesis". Traditional separation technologies face challenges due to the similar floatability of rare earth minerals and fluorite, as well as the poor selectivity of conventional reagents. …”
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A clustering algorithm based on grids for core data and adjacency relationships for edge data by Honglei He

“…It employs a regional processing strategy—applying grid clustering to cluster core regions while combining grid and Partitioning techniques for edge regions—to enhance accuracy while maintaining efficiency. Experimental results demonstrate that the proposed algorithm outperforms six other benchmark algorithms on datasets with complex shapes and uneven densities, achieving a balance between efficiency and accuracy.…”
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Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions by Cheng Qian, João Alexandre Lobo Marques, Auzuir Ripardo de Alexandria, Simon James Fong

“…EfficientNet V2 and ResNet50 emerged as top performers, achieving high accuracy and stable convergence using compound scaling and residual connections, enabling them to capture complex emotional features with minimal overfitting. …”
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Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…And the latter is a more complex nonlinear coupled system than the single-component problem which needs to be solved stably, accurately and efficiently. …”

Synthesis and evaluation of Moringa-functionalized Fe nanoparticles in water treatment via RSM by Sehrish Fatima, Naeem Abbas, Javed Iqbal, Misbah Irshad, Mian Habib Ur Rahman Mahmood, Muhammad Aadil, Muhammad Hammad Khan

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Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…Based on this, two kinds of technical paths to solve the complex network selection and spectrum allocation problem are applied in this article. …”
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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

“…Secondly, to enhance efficiency, we explore the use of a GPU-based setup and different feature selection techniques. …”
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