A Multifeature Fusion Short-Term Traffic Flow Prediction Model Based on Deep Learnings by Chunxu Chai, Chuanxiang Ren, Changchang Yin, Hui Xu, Qiu Meng, Juan Teng, Ge Gao

Get full text

Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers by Svetlana V. Avilkina, Marina A. Bakuleva, Nadezhda P. Kleynosova

“…On the basis of the mathematical model the algorithm of analytical processing of statistical data on monitoring of digital competences is developed.…”
Get full text

RECOMMENDED TACTICS FOR THE EVALUATION OF POTENTIALLY MALIGNANT DISORDERS IN THE ORAL CAVITY by S.V. Kolomiiets, K.O. Udaltsova, V.I. Shynkevych

“…Epidemiological data in Ukraine, unlike the USA, is not enough to understand the real situation and to plan the measures of oncological alertness. Risk factors for malignant lesions in the oral cavity. …”
Get full text

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…A central data hub, the Master Data Plan (MDP), will aggregate and analyze information from diverse sources, feeding AI algorithms that can identify risk factors for ASD, personalize treatment plans based on individual needs, and even predict potential relapses. …”
Get full text

Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics by T V Ramachandra, Paras Negi, Tulika Mondal, Bharath Settur

Get full text

Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…MethodsFrom the perspective of software and algorithm characteristics, this paper classifies visual modeling technologies for pipelines into three categories: 3D modeling software, secondary development based on existing components, and underlying development. …”
Get full text

Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images by Shuo Liu, Qinyu Zhang, Yuhang Zhang, Xiaochen Niu, Wuxia Zhang, Fei Xie

Get full text

Detection of Indoor Building Lighting Fixtures in Point Cloud Data using SDBSCAN by Humairah Mansor, Shazmin Aniza Abdul Shukor, Razak Wong Chen Keng, Nurul Syahirah Khalid

“…Building fixtures like lighting are very important to be modelled, especially when a higher level of modelling details is required for planning indoor renovation. LIDAR is often used to capture these details due to its capability to produce dense information. …”
Get full text

Applying object-based approach to monitor urban expansion in Ha Long city, Vietnam, during 2000-2023 from multi-date Landsat satellite imagery by Anh Tuan Vu, Duc Anh Ngo, Thi Phuong Hao Nguyen, Cong Giang Nguyen

“…Understanding these trends is crucial for informed urban planning and environmental management in the region.…”
Get full text

Estimating the plausible projections of land use/land cover dynamics in Jhelum and Chenab River basins using satellite imageries and machine learning models in Google Earth Engine by Syeda Maria Zafar, Junaid Aziz Khan, Ammara Mobeen, Wan Shafrina Wan Mohd Jaafar, Ricky Anak Kemarau

“…These insights contribute to a deeper understanding of these critical watersheds, informing sustainable land management, water resource planning, and decision-making for the future sustainable development of the Jhelum and Chenab River basins using GEE and remote sensing data.…”
Get full text

Space-ground integration system of methane emission monitoring and quantification: cases in Dongying, China by Hu He, Dong Sun, Jingang Zhao, Xin Yuan, Haoran Li, Fang Liu, Wei Wang

“…The system utilizes a classic matched filter (CMF) algorithm to retrieve greenhouse gas concentration increments from multi-temporal hyperspectral images, thereby identifying continuous point sources, which subsequently guides the development of ground-based emission data collection plans. …”
Get full text

Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression by Javad Artin, Amin Valizadeh, Mohsen Ahmadi, Sathish A. P. Kumar, Abbas Sharifi

Get full text

Fine-Tuning Quadcopter Control Parameters via Deep Actor-Critic Learning Framework: An Exploration of Nonlinear Stability Analysis and Intelligent Gain Tuning by Hassan Moin, Umer Hameed Shah, Muhammad Jawad Khan, Hasan Sajid

Get full text

Sensor-cloud data acquisition based on fog computation and adaptive block compressed sensing by Zhou-zhou Liu, Shi-ning Li

“…Through the introduction of the fitness value constraint transformation processing technique and parallel discrete elastic collision optimization algorithm, the efficient processing of the fog computing layer data is realized. …”
Get full text

Distributional robustness based on Wasserstein-metric approach for humanitarian logistics problem under road disruptions by Yingying Gao, Xianghai Ding, Wuyang Yu

“…Relief facility locations, inventory levels, and relief supply distribution plans are all determined simultaneously. By utilizing the Wasserstein metric, an ambiguity set is created to characterize the link-wise uncertainties. …”
Get full text

Effectiveness evaluation of combining SAR and multiple optical data on land cover mapping of a fragmented landscape in a cloud computing platform by Giovanni Romano, Giovanni Francesco Ricci, Francesco Gentile

“…A supervised pixel-based classification was performed, using a Random Forest (RF) machine learning algorithm, to classify the imagery and derived spectral indices into eight land cover classes. …”
Get full text

A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model by Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian

“…Groundwater level prediction is critical for environmental protection and agricultural planning. Accurate predictions help manage risks associated with excessive groundwater extraction and land subsidence. …”
Get full text

The Methodical Principles of Analyzing and Ensuring the Economic Security of Enterprises in the Aviation Industry by Panchenko Volodymyr A.

“…It is shown that the algorithm for analyzing the economic security of air transport enterprises involves the following stages: setting a goal, calculating indicators of the current state, forming indicators and setting their limit values, assessing internal and external threats, conducting a resource-functional analysis, forming conclusions and planning measures to strengthen the economic security of aviation industry enterprises. …”
Get full text

Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

Get full text

A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

Get full text