Multi-Task Spiking Neural Network for Simultaneous Vapor Recognition and Concentration Estimation by Pedro Sartori Locatelli, Salma Ait Fares, Dalton Martini Colombo, Kamal El-Sankary, Michael S. Freund

“…Neural networks have been instrumental in advancing machine olfaction systems, greatly enhancing their ability to process olfactory information. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…HTOA, inspired by the physical phenomenon of heat transfer, identifies an optimal subset of topological features to feed XGBoost machine learning model. The primary advantage of the proposed method lies in its ability to substantially reduce feature dimensionality without compromising prediction accuracy. …”
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Long-term tracking of urban structure and analysis of its impact on urban heat stress: a case study of Xi’an, China by Kaipeng Huo, Rui Qin, Jingyuan Zhao, Xuan Ma

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UFMTrack, an Under-Flow Migration Tracker enabling analysis of the entire multi-step immune cell extravasation cascade across the blood-brain barrier in microfluidic devices by Mykhailo Vladymyrov, Luca Marchetti, Sidar Aydin, Sasha GN Soldati, Adrien Mossu, Arindam Pal, Laurent Gueissaz, Akitaka Ariga, Britta Engelhardt

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Ecological drivers of malaria vector habitat and transmission over 1 year of long-lasting insecticidal net intervention in Côte d’Ivoire by Benoit Talbot, Ludovic P. Ahoua Alou, Alphonsine A. Koffi, Colette Sih, Edouard Dangbenon, Marius G. Zoh, Soromane Camara, Serge B. Assi, Raphael N’Guessan, Louisa A. Messenger, Natacha Protopopoff, Jackie Cook, Manisha A. Kulkarni

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Tracking Long-Term Ozone Pollution Dynamics in Chinese Cities with Meteorological and Emission Attribution by Hongrui Li, Xiaoyong Liu, Zijian Liu, Mengyang Li, Tong Wu, Peicheng Li, Peng Zhou

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Urban heat island classification through alternative normalized difference vegetation index by N. Chanpichaigosol, C. Chaichana, D. Rinchumphu

“…The findings contribute to a deeper understanding of urban heat island effects and provide a basis for enhancing machine Learning models and urban planning frameworks. …”
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Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces by K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur

“…The dynamic gesture recognition system uses Random Forest as its lightweight machine learning model to achieve 93.4 % accuracy in mapping gestures to command sequences which represents a 14.6 % enhancement above conventional static models. …”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

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Morphometric differences between basal cell carcinomas & melanomas of the head & neck versus other sites and their influence on neural networks by Jonas Hue, Jinendra Ekanayake, Jamshid Dehmeshki, Jagtar Dhanda

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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…The framework is validated through extensive experiments involving multiple aviation stakeholders, demonstrating a 23% improvement in fault detection accuracy and a 17% reduction in remaining useful life prediction error compared to conventional models. …”
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Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications by Sungil Kim, Tea-Woo Kim, Suryeom Jo

“…Results highlight the extensive use of machine learning (ML) and deep learning (DL) for tasks such as proxy modeling, dimensionality reduction, data generation, and optimization. …”
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Correction of Batch Effect in Gut Microbiota Profiling of ASD Cohorts from Different Geographical Origins by Matteo Scanu, Federica Del Chierico, Riccardo Marsiglia, Francesca Toto, Silvia Guerrera, Giovanni Valeri, Stefano Vicari, Lorenza Putignani

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A data-driven control method for ground locomotion on sloped terrain of a hybrid aerial-ground robot by Xinhang Xu, Yizhuo Yang, Muqing Cao, Thien-Minh Nguyen, Kun Cao, Lihua Xie

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Time-Frequency Analysis and Neural Network-Based Multipath Mitigation Method for Precise Positioning by Min-Ji Kim, O-Jong Kim, Jikang Lee, Changdon Kee, Juhyun Maeng

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Under frequency load shedding aware unit commitment in island power systems by Miad Sarvarizadeh, Mohammad Rajabdorri, Enrique Lobato, Lukas Sigrist, Behzad Kazemtabrizi, Matthias Troffaes

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End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

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Evaluating ground vibration attenuation through leca‐filled trenches: A support vector machine approach by Mohsen Naghizadeh Rokni, Omid Tavasoli, Reza Esmaeilabadi, Amirpouya Saraf

“…Additionally, a support vector machine algorithm was developed to forecast the performance of single‐wall trenches, showing a high correlation with numerical model outcomes. …”
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Consumer-Centric Rate Design for Peak Time Energy Demand Coincidence Reduction at Domestic Sector Level-A Smart Energy Service for Residential Demand Response by Swathi G, Srinivasa Varma P, Sudha Rani Donepudi, Ramash Kumar K

“…For this, customers are classified into different clusters using the Machine Learning Algorithm K-Means. The proposed rate design model has been analyzed on synthetic smart meter data of 10 houses, and it is observed that the proposed tariff shows an increase in the monthly revenue by 4.3% for the utility and a variation of -0.4% to 7% of energy charge for different customers. …”
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Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy by Mihail Kolev, Vladimir Petkov, Veselin Petkov, Rositza Dimitrova, Shaban Uzun, Boyko Krastev

“…This study not only advances the understanding of chromium coatings for babbitt materials but also demonstrates the potential of machine learning in optimizing tribological performance.…”
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