Deep learning driven methodology for the prediction of mushroom moisture content using a novel LED-based portable hyperspectral imaging system by Kai Yang, Ming Zhao, Dimitrios Argyropoulos

“…For comparison purposes, state-of-the-art machine learning algorithms, i.e., support vector machine regression (SVMR) and partial least squares regression (PLSR) were also investigated for the model development based on five spectra pre-processed methods using two different lighting systems i.e., enhanced light-emitting diode (LED) and tungsten halogen (TH). …”
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The Symbiotic Bacterial Profile of Laboratory-Reared and Field-Caught <i>Aedes albopictus</i> Mosquitoes from Greece by Elias Asimakis, Ioannis Galiatsatos, Georgia Apostolopoulou, Eleni C. Savvidou, Georgios Balatsos, Vasileios Karras, Vasiliki Evangelou, Eva Dionyssopoulou, Antonios Augustinos, Nikos T. Papadopoulos, Antonios Michaelakis, Panagiota Stathopoulou, George Tsiamis

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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…Abstract Improper management of soil resources leads to the destruction of soil organic carbon (SOC) stock and, as a result, the reduction of soil quality, as well as accelerating the process of climate change through the release of SOC into the atmosphere. …”
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Impact-induced energy release of typical HCP metal/PTFE/W reactive materials: Experimental study and predictive modeling via machine learning by Zhenwei Zhang, Weixi Tian, Tianyi Wang, Zhiyuan Liu, Yansong Yang, Chao Ge, Lei Guo, Yuan He, Chuanting Wang, Yong He

“…In this study, two typical HCP metals, zirconium, and titanium, were applied to reactive materials (RMs) to prepare Zr/PTFE/W RMs and Ti/PTFE/W RMs, validating the feasibility of HCP metal/PTFE/W RMs. The impact response process of typical HCP metal/PTFE/W RMs under high-velocity dynamic loads was studied using shock equations of state (EOS) based on porous mixtures and chemical reaction kinetics equations. …”
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An Identification Method of Polarization Modulation for Ship and Combined Corner Reflector Based on Civil Marine Radar by Di ZHU, Fulai WANG, Chen PANG, Yongzhen LI

“…A support vector machine is then employed to achieve accurate target identification. …”
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REGRESSION ANALYSIS AND GIS METHODS FOR ASSESSMENT OF THE PLAGUE EPIZOOTIC ACTIVITY OF KAZAKH NATURAL PLAGUE FOCI by N. .. Niyazbekov, Z. .. Abdeliyev, Z. .. Sagiyev, A. .. Matzhanova, A. .. Abdrazakova, B. .. Aysauytov, M. .. Balibayev, N. .. Toksanbayeva, Sh. .. Ibrayeva, A. .. Yermakhanov, M. .. Burambayeva, S. .. Zhadyrassyn, B. .. Aimakhanov, L. .. Kupteleuova, K. .. Akmambetova

“…The plague natural foci of Kazakhstan are a complicated system of relations between the plague microbe, warm-blood host and vector. The complex approaches used for study of the processes of the plague epizooty and prognosis it. …”
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Optimizing Euclidean Distance Computation by Rustam Mussabayev

“…These optimizations enable scalable and efficient processing for modern data-driven tasks, directly leading to reduced energy consumption and a minimized environmental impact.…”
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Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification by Dharani Kanta Roy, Hemanta Kumar Kalita

“…Initially, the pre-processing is accomplished using null value dropping and standard scaler normalization. …”
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Deep learning application to roughness classification of road surface conditions through an e-scooter’s ride quality by Asher Virin, Lalitphat Khongsomchit, Sakdirat Kaewunruen

“…Three machine learning models—Random Forest Classifier, Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM) with k-means clustering—were tested using various hyperparameter tuning, post-processing, and data splitting strategies. …”
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Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations by Pavel V. Matrenin, Alina I. Stepanova

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AI-driven hybrid rehabilitation: synergizing robotics and electrical stimulation for upper-limb recovery after stroke by Ismail Ben Abdallah, Ismail Ben Abdallah, Yassine Bouteraa, Yassine Bouteraa, Ahmed Alotaibi, Ahmed Alotaibi

“…A ROS2-based architecture enables real-time signal processing, adaptive control, and remote supervision by clinicians. …”
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The Effect of CDKN1A on the Expression of Genes Related to Milk Protein and Milk Fat Synthesis in Bovine Mammary Epithelial Cells by Yuanyuan Zhang, Junxi Liang, Kai Zhang, Hong Su, Daqing Wang, Min Zhang, Feifei Zhao, Zhiwei Sun, Zhimin Wu, Guifang Cao, Yong Zhang

“…Its content and composition directly affect the nutritional value, processing characteristics, and economic benefits of dairy products. …”
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Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…The datasets, sourced from the UCI repository, were pre-processed and evaluated using metrics such as accuracy, precision, F1-score, log loss, and error rate, with performance further assessed using confusion matrices. …”
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A non-invasive computer-aided personalized diagnosis system for Osteopenia and Osteoporosis by Hadeel Osama El-Sisi, Fatma El-Zahraa Ahmed El-Gamal, Noha Ahmed Hikal

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Fast Spot Locating for Low-Density DNA Microarray by MinGin Kim, Jongwon Kim, Sun-Hee Kim, Jong-Dae Kim

“…While this improvement applies to the vectorized square calculation alone, substantial performance gains were still achieved in the overall process. …”
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Determination of the Energy Efficient Speed of the Working Body of the Agitator for Small Biogas Reactors by Spodoba M.O., Spodoba О.O., Kovalchuk S.I., Oliinik Yu.O.

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MODELLING OF MODES OF A THREE-PHASE CHAIN WITH CROSS-SECTION ASYMMETRY by Gennadij P. Karabashev

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Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms by Hossein Azarpira, Parsa Khakzad, Tayebeh Rasolevandi, Amir Sheikhmohammadi

“…These models were used to optimize the reduction process and attain the requisite conditions from the cadmium hexavalent (Cd (VI)) to trivalent (Cd (III)). …”
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Raster Image-Based House-Type Recognition and Three-Dimensional Reconstruction Technology by Jianbo Chang, Yunlei Lv, Jian Wang, Hao Pang, Yaqiu Liu

“…By generating and filtering candidate primitives through axial alignment rules and geometric constraints, followed by post-processing to refine the positions of walls, doors, and windows, our approach achieves over 87% precision and 88% recall, with positional errors within 1% of the floor plan’s dimensions. …”
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The use of acoustic emission technique in MWD for mine to mill approach as a smart tool for sustainable mining by Mohammad Hossein Jalalian, Raheb Bagherpour, Mehrbod Khoshouei

“…Abstract The Mine-to-Mill (MTM) approach is crucial in mining due to the high energy consumption and costs of comminution processes like crushing and grinding, which account for over 50% of total energy use. …”
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