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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Quantum-enhanced beetle swarm optimized ELM for high-dimensional smart grid intrusion detection by Na Cheng, Shuqing Wang, Lihong Zhao, Yan Hu

“…Abstract This study proposes a novel smart grid intrusion detection model, combining a quantum-enhanced beetle swarm optimization algorithm with extreme learning machine (QBOA-ELM), with the aim of improving detection accuracy, efficiency, and robustness. …”
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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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Zero-Shot Classification of Art With Large Language Models by Tatsuya Tojima, Mitsuo Yoshida

“…Both traditional statistical methods and machine learning methods have been used to predict art prices. …”
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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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Prediction of Air Quality Index Using Ensemble Models by Theresia Herlina Rochadiani

“…This study uses IoT-based air quality data from Kampung Kalipaten, Tangerang to build an AQI prediction model with machine learning, specifically an ensemble model. …”
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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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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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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…The aviation industry generates vast amounts of data across multiple stakeholders, but critical faults and anomalies occur rarely, creating inherently imbalanced datasets that complicate machine learning applications. Traditional centralized approaches are further constrained by privacy concerns and regulatory requirements that limit data sharing among stakeholders. …”
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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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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

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A Novel Policy Distillation With WPA-Based Knowledge Filtering Algorithm for Efficient Industrial Robot Control by Gilljong Shin, Seongjin Yun, Won-Tae Kim

“…The machine learning model experiences the computing resource limitation of industrial robots working the complex jobs of intelligent operations including machine vision, action planning and human collaborations. …”
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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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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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Evaluating ground vibration attenuation through leca‐filled trenches: A support vector machine approach by Mohsen Naghizadeh Rokni, Omid Tavasoli, Reza Esmaeilabadi, Amirpouya Saraf

“…This underscores the algorithm's utility in predicting trench efficiency, highlighting the practical application of machine learning in geotechnical engineering.…”
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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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