Smart, sustainable, and green: the digital transformation of green-marketing by Sunil Kumar, Chetan Sharma, Manoj Kumar Mishra, Shamneesh Sharma, Vivek Bhardwaj

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Methods of effective media as optimal methods for modeling the physical properties of nanostructures by A. N. Yurasov, M. M. Yashin

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Test of Flotation Technology for a Low-sulfide Refractory Gold Ore from Qinghai by Pingtian MING, Shengping MA, Chao DING, Zhen WANG

“…Based on the research of process mineralogy, this paper further optimized the flotation process parameters and reagent system, and carried out the research of the combined process of strong agitation and selective grinding, which alleviated the contradiction between fine grinding and slime of ore to a certain extent, and obtained the test indexes of gold grade of 33.06 g/t and gold recovery of 85.70%, achieving a great breakthrough in the original process index.…”
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Three Machine Learning Techniques for Melanoma Cancer Detection by Hadi Naghavipour, GholamReza Zandi, Abdulaziz Al-Nahari

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Innovative approaches to English pronunciation instruction in ESL contexts: integration of multi-sensor detection and advanced algorithmic feedback by Li Ping, Ning Tao

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OPTIMIZATION TECHNOLOGY OF FAT-SOLUBLE VITAMINS PRODUCTION BASED ON ALKALINE HYDROLYSIS by E. B. Sysuev, E. F. Stepanova, V. D. Noskova

“…In the group of fat-soluble vitamins, vitamin D is one of the most relevant objects, that is why the problem of its technology optimization is under consideration. …”
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The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results by Chelsey H. Hill, Jorge E. Fresneda, Murugan Anandarajan

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A Wearable Silent Text Input System Using EMG and Piezoelectric Sensors by John S. Kang, Kee S. Moon, Sung Q. Lee, Nicholas Satterlee, Xiaowei Zuo

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

“…These parameters served as training labels for the proposed LSTM-based architecture, which learned to predict the most effective denoising parameters for a given noisy LFM signal. …”
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Cell-type specific repertoire of responses to natural scenes in primate retinal ganglion cells by Alexandra Kling, Nora Brackbill, Colleen Rhoades, Alex Gogliettino, Alexander Sher, Alan Litke, E. J. Chichilnisky

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Machine learning vs. rule-based methods for document classification of electronic health records within mental health care—A systematic literature review by Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak

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Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

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Drying kinetics and stability of fatty acids in grape pomace seeds under mild thermal conditions by Rudonja Nedžad R., Zlatanović Ivan J., Vujović Dragan S., Sekar Subramani, Jeyachristy Sam Annie, Gligorević Kosta B.

“…Among them, the Logarithmic model provided the best fit for most cultivars, showing excellent agreement between predicted and experimental drying curves. …”
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Water Consumption, Quantity and Quality of Wastewater and Sewage Sludge from Polish Dairies by Joanna Rodziewicz, Artur Mielcarek, Karolina Kłobukowska, Krzysztof Jóźwiakowski, Tadeusz Siwiec, Piotr Bugajski, Wojciech Janczukowicz

“…Data were collected from eighteen dairies. Most of them have their own WWTP. Water consumption ranged from 1.5 litres (L) of water per litre of milk processed to 3.71 L/L. …”
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Quality of Radar Direction-Finding via Conical Scanning by A. D. Pluzhnikov, L. V. Kogteva, E. N. Pribludova, S. B. Sidorov, E. G. Chuzhaykin

“…Moreover, the optimized errors (the values of static errors and the most probable values of the dynamic tracking errors) will require adjustment of the known analytical estimates for the variance of the direction finding results – the qualitative indicator of the direction finder (accuracy indicator). …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper presents a feature selection technique based on <inline-formula><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). …”
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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

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KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories by Muzzamil Aziz, Ioana Popa, Amjad Zia, Andreas Fischer, Sabih Ahmed Khan, Amirreza Fazely Hamedani, Abdul R. Asif

“…The system utilizes various open-source machine learning tools, such as GROBID, S2ORC, and BioC to streamline the processes of data extraction and data mining. Central to the functionality of KnowVID-19 is its keyword-based text classification process, which plays a pivotal role in organizing and categorizing the extracted information. …”
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Selection for high quality pepper seeds by machine vision and classifiers by Ke-ling TU, Lin-juan LI, Li-ming YANG, Jian-hua WANG, Qun SUN

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Application of Convolutional Neural Networks in an Automatic Judgment System for Tooth Impaction Based on Dental Panoramic Radiography by Ya-Yun Huang, Yi-Cheng Mao, Tsung-Yi Chen, Chiung-An Chen, Shih-Lun Chen, Yu-Jui Huang, Chun-Han Chen, Jun-Kai Chen, Wei-Chen Tu, Patricia Angela R. Abu

“…<b>Background/Objectives:</b> Panoramic radiography (PANO) is widely utilized for routine dental examinations, as a single PANO image captures most anatomical structures and clinical findings, enabling an initial assessment of overall dental health. …”
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