Metals associated with Beach plastic litter at Woodbridge Island and Derdesteen in Table Bay, South Africa by Adetunji Awe, Ogheneochuko Oputu, Uyiosa Osagie Aigbe, Conrad Sparks

“…Of the plastic debris (≤ 200 mm) processed for metal content using an inductively coupled plasma mass spectrometer (ICP-MS), polystyrene plastics were found to contain a higher abundance of the analyzed metals. …”
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Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Due to the rapid proliferation of social media and online reviews, the accurate identification and classification of controversial texts has emerged as a significant challenge in the field of natural language processing. However, traditional text-classification methodologies frequently encounter critical limitations, such as feature sensitivity and inadequate generalization capabilities. …”
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An Integrated Spatial-Spectral Denoising Framework for Robust Electrically Evoked Compound Action Potential Enhancement and Auditory Parameter Estimation by Fan-Jie Kung

“…In the second stage, the denoised matrix is vectorized and further processed using a log-spectral amplitude (LSA) Wiener filter for spectral domain denoising. …”
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DYNAMICS OF PROTEINS OF THE ACUTE PHASE OF INFLAMMATION IN PARATONSILLAR ABSCESSES IN RESIDENTS OF THE INDUSTRIAL CITY by Виктор Дмитриевич Осипов, Вениамин Витальевич Павлов, Дмитрий Вячеславович Суржиков, Вера Викторовна Кислицына, Ирэна Юрьевна Мотуз, Дина Викторовна Пестерева, Варвара Адамовна Штайгер

“…The content of interleukin-6 in the blood serum was studied by the enzyme-linked immunosorbent assay using the test systems of the Vector-Best company. Statistical processing of the obtained data was carried out using the software packages «MS-EXCEL», «BIOSTAT». …”
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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…Aiming at the shortcomings of existing algorithms in the accuracy and processing of complex emotion states, a novel emotion recognition model of intelligent robot speech based on ACO algorithm and multi-level support vector machine is proposed. …”
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Behavior Modeling-Based QoS Preserving Model With Intelligent Trust Ranking for 6G by Santosh Sharma, Rakesh Kumar Jha, Anil Kumar

“…The suggested SVM (Support Vector Machine) based prediction model preserves the three-way trade-off between QoS, accuracy, and processing time. …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…We constructed a systematic biosignal detecting, processing, and modeling method. The biosignal sensing was performed with wearable sensors (photoelectric sensor and infrared temperature measurement) for physiological dynamic sensing and continuous monitoring of the transport environment of meat sheep. …”
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Fast evaluation on the fatigue level of copper contact wire based on laser induced breakdown spectroscopy and supervised machine learning for high speed railway by Wenfu Wei, Langyu Xia, Zefeng Yang, Huan Zhang, Like Pan, Jian Wu, Guangning Wu

“…Twenty‐four combinations of spectral pre‐processing, feature extraction, and optimisation algorithms were used to compare the recognition results with the accuracy, recall rate, and time cost taken into accounted. …”
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A Novel Method of Self-Healing Concrete to Improve Durability and Extend the Service Life of Civil Infrastructure by Yan Xue, Weiliang Gao, Yanming Zhao

“…Finally, the Pareto frontier solution set is processed using the ideal point method selection approach to determine the optimal concrete mix ratio scheme. …”
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Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19 by Nurun Nuha, Sakinah Ali Pitchay, Azni Haslizan Ab Halim, Murtadha Arif Bin Sahbudin, Ilfita Sahbudin

“…BDA supports infectious disease control by processing diverse healthcare data and leveraging technologies like IoT and social media to enhance diagnosis, clinical decision-making, and surveillance. …”
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Scalable and Efficient Multi-Class Brain Tumor Classification with a Compact Hybrid Deep Learning Model for Real-Time Applications by Sohaib R. Awad, Amar I. Daood, Akram A. Dawood

“… Medical diagnostics require brain tumor classification to operate in real-time so the task demands accurate results with efficient processing abilities. A new hybrid deep learning solution merges convolutional neural networks (CNNs) with support vector machines (SVMs) to improve classification results as this paper describes. …”
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Insights into the evolution and regulation of miRNAs from the view of their DNA replication temporal domains by Xudong Wu, Tingting Liu

“…We comprehensively examined the multiple molecular features including the secondary structural properties, the genomic sequences surrounding the pre-miRNA loci, the Dicer processing motifs, and CAGE tag-based promoters and miRNAs expression profiles. …”
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Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters by Luca Quagliato, Jiin Seo, Jiheun Hong, Taeyong Lee, Yoon-Sok Chung

“…Conclusion The proposed methodology demonstrates that current bone health can be assessed through post-processed results from 2D-DXA analysis. Moreover, it was also shown that synthetic data can help stabilize uneven databases by balancing majority and minority classes, thereby significantly improving classification performance.…”
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Construction exploration and application prospect of the large model in mining industry by Haijun WANG

“…Based on this, this paper sorts out the development status of generative large model technology, expounds the application status and effectiveness of large model technology in multiple fields, introduces the key technologies of industry large model such as data processing (cleaning, balancing, enhancement, etc.), text tokenization, pre-training and fine-tuning, prompt word optimization, vector embedding, alignment, retrieval enhancement generation and other large model technologies, and demonstrates that the industry large model inherits the advantages of the general large model of “general” and at the same time has the characteristics of “specialization”. …”
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Leveraging deep learning technology for enhancing printing press quality by Omotunde Alabi Muyiwa, B.H. Adejumo

“…Six-hundred images of newspaper were loaded in pyCharm programmed environment for data exploration, cleaning, pre-processing, augmentation, while MATPLOT library analysed visual characteristics of loaded random sample image-dataset. …”
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A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers by Mehtab Ur Rahman, Cem Direkoglu

“…Abstract Recent advances in artificial intelligence-based audio and speech processing have increasingly focused on the binary and multi-class classification of voice disorders. …”
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AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm by Xin Shi, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…This study presents a high-accuracy classification model that uses microscopic images to differentiate among four closely related grapevine pathogens: Lasiodiplodia brasiliensis, L. crassispora, L. exigua, and L. gilanensis. Advanced image processing techniques were applied to segment spores and extract texture, color, and shape features. …”
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Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Considering comprehensive data preliminary processing, FS, and validation, ELNET-BDE outperforms existing methods. …”
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Notch signaling and taxis mechanisms regulate early stage angiogenesis: A mathematical and computational model. by Rocío Vega, Manuel Carretero, Rui D M Travasso, Luis L Bonilla

“…During angiogenesis, new blood vessels sprout and grow from existing ones. This process plays a crucial role in organ development and repair, in wound healing and in numerous pathological processes such as cancer progression or diabetes. …”
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Discrete dynamics of complex systems by Hermann Haken

“…This article extends the slaving principle of synergetics to processes with discrete time steps. Starting point is a set of nonlinear difference equations which contain multiplicative noise and which refer to multidimensional state vectors. …”
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