Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration by Ngoc-Son Pham, Sangwon Shin, Lei Xu, Weidong Shi, Taeweon Suh

Get full text

Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

“…Numerical experiments, including simulation studies and real-world applications of OES data, demonstrate the effectiveness of the proposed method through superior prediction performance, as evidenced by low RMSE and MAE values, particularly in the presence of outliers.…”
Get full text

Graph convolutional network model with a feature compensation module and dual-channel second-order pooling module for multimodal emotion recognition in conversation by Xiaocong Tan, Zhengze Gong, Mengkun Gan, Weijie Xie, Wenhui Wang

“…However, some information modalities may be absent in real-world applications and information from various modalities may be difficult to integrate. …”
Get full text

Leveraging Humanized Performance Labeling to Drive Sustainable Building Choices by Azadeh Omidfar Sawyer, Sanaz Saadatifar

“…Results revealed that 77.3% of participants shifted their preferences after reviewing energy-related data. Furthermore, the study found consistent impacts across demographic groups, highlighting the broad applicability of humanized labeling. …”
Get full text

OCTOPUS: Across-social network user identification via multi-category spatio-temporal trajectories by Yating Qu, Ling Xing, Kaikai Deng, Honghai Wu, Yue Ling, Deshun Jia

“…Abstract The user and data scales of social networks are experiencing rapid expansion, leading to the emergence of diverse across-social network applications. …”
Get full text

Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections by Shih-Lin Lin, Jun-Yi Wu

“…In this work, we leverage automotive LiDAR point cloud data, which are inherently sparse, noisy, and unstructured, posing challenges to conventional classification methods. …”
Get full text

Do Spatial Trajectories of Social Media Users Imply the Credibility of the Users’ Tweets During Earthquake Crisis Management? by Ayse Giz Gulnerman

“…Social media (SM) platforms provide abundant geospatial data but are often unstructured and produced by diverse users, posing challenges in filtering relevant content. …”
Get full text

Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies by Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler

“…These sensors generate continuous high-frequency data streams, including intracranial pressure (ICP) and cerebral perfusion pressure (CPP), providing real-time insights into cerebral function. …”
Get full text

A two-stage approach to enhancing biofuel supply chains through predictive and optimization analytics by Mehdi Soltani Tehrani, Siamak Noori, Ehsan Dehghani

“…This approach combines the performance assessment strengths of data envelopment analysis with the predictive capabilities of neural networks, enabling a data-informed site selection process. …”
Get full text

Evaluating the Potential of SDGSAT-1 Glimmer Imagery for Urban Road Detection by Yu Wang, Hailan Huang, Bin Wu

“…Approximately, 64% of urban roads were detectable within the SDGSAT-1 glimmer imager data. Our study suggests that the SDGSAT-1 glimmer data have great potential for extracting urban roads.…”
Get full text

What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation by Saman Ebrahimi, Saurav Kumar

“…Optical bands proved most effective for crop classification, while SAR and DEM data enhanced predictions for nonagricultural types. …”
Get full text

Research on fault diagnosis of CTCS on-board equipment based on knowledge graph by CHEN Huiyuan

“…Subsequent applications show that the established fault knowledge graphs for CTCS on-board equipment effectively facilitate the retrieval of data related to on-board equipment faults, provide fault analysis and diagnosis methods, and support operation and maintenance personnel in intelligent decisions on fault diagnosis, thereby improving operational and maintenance efficiency and reducing maintenance costs.…”
Get full text

ISCCO: a deep learning feature extraction-based strategy framework for dynamic minimization of supply chain transportation cost losses by Yangyan Li, Tingting Chen

“…By integrating real-time demand data, ISCCO dynamically adjusts the allocation of resources to minimize transportation inefficiencies. …”
Get full text

Integrating Satellite-Based Precipitation Analysis: A Case Study in Norfolk, Virginia by Imiya M. Chathuranika, Dalya Ismael

“…In many developing cities, the scarcity of adequate observed precipitation stations, due to constraints such as limited space, urban growth, and maintenance challenges, compromises data reliability. This study explores the use of satellite-based precipitation products (SbPPs) as a solution to supplement missing data over the long term, thereby enabling more accurate environmental analysis and decision-making. …”
Get full text

Real‐Time Monitoring of Ionosphere VTEC Using Multi‐GNSS Carrier‐Phase Observations and B‐Splines by Eren Erdogan, Michael Schmidt, Andreas Goss, Barbara Görres, Florian Seitz

“…Abstract Monitoring the Vertical Total Electron Content (VTEC) of the ionosphere is important for applications ranging from navigation to detection of space weather events. …”
Get full text

VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…Despite their widespread use, the existing models predominantly train each data source independently or simultaneously train multiple sources without fully optimizing the integration of similar information. …”
Get full text

EVOLUTION OF WIRELESS (CELLULAR) COMMUNICATION NETWORKS by L. F. Chernogor, M. B. Shevelev

“…Results. Using average data on the parameters of 1G to 5G communication networks and 6G in development, we have built regression models representative of the evolution of information transfer rates and data transmission durations until the year 2050. …”
Get full text

Chemoreactomic analysis of the antioxidant properties of vitamin B12 derivatives by I. Yu. Torshin, O. A. Gromova, L. A. Maiorova

“…The study was conducted using the method of chemoreactomic analysis, implemented within the framework of the algebraic theory of recognition and topological data analysis and based on the theory of isomorphism of labeled graphs and modern methods for predicting numerical target variables. …”
Get full text

Triple-layered security system: reliable and secured image communications over 5G and beyond networks by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm

“…The paper proposes a Loss-less Triple-level security system that secures the data without loss and high quality of extracted messages. …”
Get full text

Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…Capturing ecological data variability in food web models is an important step for improving model representation of empirical systems. …”
Get full text