A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data by Jose Manuel Ramos-Varela, Juan C. Cuevas-Tello, Daniel E. Noyola

“…The first two stages focuses on identifying the best-performing predictive models, while the third stage includes Natural Language Processing (NLP) algorithms for tweet selection. …”
Get full text

Just‐in‐time defect prediction enhanced by the joint method of line label fusion and file filtering by Huan Zhang, Li Kuang, Aolang Wu, Qiuming Zhao, Xiaoxian Yang

“…Secondly, to obtain semantics‐enhanced code representation, a cross‐attention‐based line label fusion method to perform complementary feature enhancement is proposed. …”
Get full text

Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

“…A high-dimensional feature matrix is then constructed utilizing a Gaussian kernel function. …”
Get full text

In vitro screening of UGT2B10 in silico prioritized putative ligands from drugs used in the pediatric hematopoietic stem cell transplantation setting by Yahia Bennani, Khalil Ben Hassine, Muhammed Gencaslan, Mary Boudal‐Khoshbeen, Caroline Samer, Marc Ansari, Youssef Daali, Chakradhara Rao Satyanarayana Uppugunduri

“…None of the other tested compounds featured inhibition potential and none of the compounds tested exhibited metabolism through UGT2B10. …”
Get full text

SmartASN: A Sustainable Digital Transformation to Human Resource Management in Indonesia’s Bureaucracy 4.0 by Nyeleker Kerkulah P., Fridayani Helen Dian, Chiang Li-Chun

“…The research applied a qualitative method with a case study approach, relying on secondary data collected from newspapers, journals, the SmartASN platform, etc. Using the crosstab feature, the data were interactively analysed with the NVivo 12 plus software. …”
Get full text

Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach by Mehewish Musheer Sheikh, Mamatha Balachandra, Narendra V. G., Arun G. Maiya

“…Gradient Boosting achieved the highest accuracy (88% dynamic, 100% static), with Random Forest and Decision Tree also performing well. Explainable AI techniques (SHAP, Eli5, Anchor Explanations) provided insights into feature importance, enhancing model interpretability. …”
Get full text

High resolution descriptors for UAV mapping in biodiversity conservation - A case study of sandy steppe habitat renewal. by Maja Arok, Branko Brkljač, Predrag Lugonja, Bojana Ivošević, Milan Vukotić, Tijana Nikolić Lugonja

“…However, revitalization efforts often focus solely on the vegetation component, and skip the link to other animal species that perform vital functions as ecosystem engineers and umbrella species. …”
Get full text

Algorithmic Shadow Spectroscopy by Hans Hon Sang Chan, Richard Meister, Matthew L. Goh, Bálint Koczor

“…We present shadow spectroscopy as a simulator-agnostic quantum algorithm for estimating energy gaps using very few circuit repetitions (shots) and no extra resources (ancilla qubits) beyond performing time evolution and measurements. The approach builds on the fundamental feature that every observable property of a quantum system must evolve according to the same harmonic components: we can reveal them by postprocessing classical shadows of time-evolved quantum states to extract a large number of time-periodic signals N_{o}∝10^{8}, whose frequencies correspond to Hamiltonian energy differences with precision limited as ϵ∝1/T for simulation time T. …”
Get full text

Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…Experimental results show that the MFFN model performs excellently in technique recognition, emotion judgment, and attention detection tasks, achieving an accuracy rate of 93.7% in technique recognition. …”
Get full text

Classification of skin diseases with deep learning based approaches by Merve Okumuş Sarı, Kübra Keser

“…It was observed that SVM classification with Relief’s algorithm offers higher accuracy rates than other methods. The proposed model provides an original contribution to the literature, particularly through its integration of feature selection and a simplified architecture. …”
Get full text

Enhancing Smart City Functions through the Mitigation of Electricity Theft in Smart Grids: A Stacked Ensemble Method by Muhammad Hashim, Laiq Khan, Nadeem Javaid, Zahid Ullah, Ifra Shaheen

“…Furthermore, we incorporate kernel principal component analysis (KPCA) and localized random affine shadow sampling (LoRAS) for feature engineering and data augmentation. We also perform comparative analysis using adaptive synthesis (ADASYN) and independent component analysis (ICA). …”
Get full text

Structural Optimisation for Mass Estimation of Large-Aspect-Ratio Wings with Distributed Hybrid Propulsion by João Carvalho, Rauno Cavallaro, Andrea Cini

“…The current commitment towards aviation climate neutrality and decarbonisation is boosting research programmes on disruptive aircraft configurations featuring sustainable powertrains and fuel-efficient airframes. …”
Get full text

Generation of a Social Network Graph by Using Apache Spark by Y. A. Belov, S. I. Vovchok

“…It was described in detail how the tasks division with the help of this framework runs. The Erdos-Renyi model for random graphs is used in the algorithm. …”
Get full text

Farm-scale mapping of compost and digestate spreadings from Sentinel-2 and Sentinel-1 by Maxence Dodin, Florent Levavasseur, Antoine Savoie, Lucie Martin, Emmanuelle Vaudour

“…While the areal percentage of the highest uncertainty class covered less of 10% of the mapped area regardless of the year, the best models showed accuracies higher than 93% in 2020 and 2021. …”
Get full text

SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

“…Empirical results demonstrate the optimized SMOTE algorithm’s superiority over six comparison models, such as random over-sampling, under-sampling, etc. …”
Get full text

A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Quantitative evaluation results using various analytical methodologies (multiple regression analysis, Kruskal–Wallis test, random forest feature importance, principal component analysis including K-means clustering, response surface methodology (RSM), preference ranking technique based on similarity to the ideal solution (TOPSIS), and Pareto optimization) revealed that the basic shooting pattern ‘type’ has a significant and statistically significant influence on all major SfM performance metrics (reprojection error, final point count, computation time, reconstruction completeness; Kruskal–Wallis <i>p</i> < 0.001). …”
Get full text

Elucidating White Matter Contributions to the Cognitive Architecture of Affective Prosody Recognition: Evidence from Right Hemisphere Stroke by Meyra S. Jackson, Yuto Uchida, Shannon M. Sheppard, Kenichi Oishi, Ciprian Crainiceanu, Argye E. Hillis, Alexandra Z. Durfee

“…Linear mixed-effects models and multivariable linear regression were used to assess behavioral performance recovery and lesion–symptom associations. …”
Get full text

Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…This approach is favored over deep learning-based models due to its low computational complexity and real-time capability, making it ideal for latency- and resource-constrained IoT and edge environments. …”
Get full text

Unveiling the mechanisms and promising molecular targets of curcumin in pancreatic cancer through multi-dimensional data by HongMing Xie, JieBin Liang, HongBiao He, Zewei Zhuo, JiaXuan Li

“…Five feature genes (VIM, CTNNB1, CASP9, AREG, HIF1A) were used to build a nomogram, with the classification model showing AUC values above 0.9 in both training and validation groups. …”
Get full text

Design Challenges for an Autonomous Unmanned Aerial Vehicle With Hybrid Lift and Propulsion by Alysson Nascimento de Lucena, Neusa Maria Franco de Oliveira, Bruno Marques Ferreira da Silva, Raimundo Carlos Silverio Freire Junior, Luiz Marcos Garcia Goncalves

“…Considering these requirements, we propose the architectural design of a double-hybrid UAV, conceptualized and built as a flying wing with tractor configuration with a combustion engine propeller and an electric multirotor with 3 propeller sets. We performed several tests to validate the proposed UAV model, including take-off, horizontal flight, transition tests, and also tests on autonomy (flight time and distance). …”
Get full text