A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning by Prashanth Choppara, S. Sudheer Mangalampalli

“…This has created a need for more effective methods of processing and managing this data. Conventional cloud computing often fails to fulfill the need of IoT usage in terms of high bandwidth, low makespan, and real-time processing. …”
Get full text

Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…The study involves creating a smartphone application that continually reads sensor data and sends it to the cloud for further processing. …”
Get full text

AI Linguistics by Guosheng Zhang

“…A series of specialized experiments were designed to explore Embedding’s intrinsic properties, including its behavior as a semantic cloud in high-dimensional space, its degrees of freedom, and spatial transformations. …”
Get full text

Towards Global Political Communities and New Citizenship Regimes by Seyla Benhabib

Get full text

Enhancing DataOps practices through innovative collaborative models: A systematic review by Aymen Fannouch, Jihane Gharib, Youssef Gahi

“…The study highlights the value of frameworks, methodologies, and advanced technologies—such as automation, cloud platforms, and continuous delivery pipelines—that have reshaped the DataOps landscape. …”
Get full text

Classification of Forest Stratification and Evaluation of Forest Stratification Changes over Two Periods Using UAV-LiDAR by Hideyuki Niwa

“…Three-dimensional point cloud models from two measurement periods during the leaf-fall season were used. …”
Get full text

Automated detection of spreading depolarizations in electrocorticography by Sreekar Puchala, Ethan Muchnik, Anca Ralescu, Jed A. Hartings

“…SD detection using sparse sampling (0.1 Hz) is optimal for streaming and use in cloud computing applications for neurocritical care.…”
Get full text

Study of Low-Level Wind Shear and Its Evolution Based on LIDAR and Aircraft Reports Identification by Jie DING, Lei ZHANG, Zeyong HU, Jiemin WANG, Kaijun ZHANG, Jiening LIANG, Yuan WANG, Zhida ZHANG, Lili XU, Jin WANG, Tao CAI

“…Low-level wind shear significantly impacts aviation safety and operational efficiency.Zhongchuan Airport， located in a mountainous inland region， experiences the influence of complex terrain and weather systems.Wind shear is frequently observed during the summer season.This study analyzes the spatial and temporal characteristics of low-level wind shear events at Zhongchuan Airport using aircraft reports spanning from 2009 to 2018.During the observation period from May 2016 to November 2017， a total of 18 low-level wind shear events were confirmed through aircraft verification.Two methods， namely the fixed and adaptive window methods， were compared to identify wind shear events using LIDAR data from the Windcube 400s-at instrument.The study also explored the continuous evolution and spatial characteristics of the three-dimensional wind shear structure.The results indicate that the frequency of low-level wind shear events has increased at a faster rate compared to the flight volume at Zhongchuan Airport over the past ten years.The peak months for low-level wind shear events at Zhongchuan Airport are April-July and August-October， influenced by local weather patterns.The peak months for low-level wind shear events at Zhongchuan Airport are April-July and August-October， influenced by local weather patterns.Wind shear induced by convective weather occurs in the weak or non-echo region surrounding the convective cloud， resulting from the convergence of updrafts and downdrafts outside the cloud， or the formation of a gust front following the downdraft's contact with the ground.The wind shear factor is correlated with the intensity of radar echoes.Compared to the fixed window method， the adaptive window method had a larger recognition range due to the different data sets included in the recognition window.Therefore， the adaptive window method was found to be more suitable for studying the three-dimensional evolution of wind shear structures.Therefore， the adaptive window method is better suited for studying the evolution of the three-dimensional wind shear structure.The wind shear in the vicinity of Zhongchuan Airport is characterized by a low spatial distribution， small horizontal scale， and short duration， primarily concentrated in the small-scale and γ mesoscale.In other words， the wind shear events occurred at relatively low altitudes， with horizontal scales mostly ranging between 1000~1500 m and 2000~2600 m， lasting less than 20 minutes.Furthermore， 40.5% of the wind shear events were attributed to the movement of the wind， primarily influenced by the background wind.The findings of this study contribute to a better understanding of the characteristics of wind shear， offering valuable insights for the identification， mechanisms， forecasting， and early warning of low-level wind shear events at Zhongchuan Airport.…”
Get full text

Large language models for closed-library multi-document query, test generation, and evaluation by Claire Randolph, Adam Michaleas, Darrell O. Ricke

“…Additionally, the AI for knowledge intensive tasks (AIKIT) solution is presented for working with numerous documents for training and continuing education. AIKIT is provided as a containerized open source solution that deploys on standalone, high performance, and cloud systems. …”
Get full text

APPLICATION OF PULSE-PERIODICAL MODE FOR IMPROVEMENT OF LASER TREATMENT EFFICIENCY by V. V. Apollonov, O. G. Devoino, A. S. Kalinichenko

“…On the other hand, in some cases shielding effect of plasma cloud formed during laser alloying, cladding or welding reduces the efficiency of laser treatment up to 50 % depending on plasma composition and laser beam length. …”
Get full text

A digital intelligence visualization health monitoring device for Alzheimer’s disease patients based on WBAN technology by Minghong Zheng, Yi Wu, Changqing Weng

“…Abstract Continuous visual health monitoring for Alzheimer’s disease (AD) patients, as a lifelong degenerative neurological disorder, is increasingly emphasized in medicine and design. …”
Get full text

Research on key technology and engineering application of emulsion pump in super-high mining face by Ran LI, Jian YE, Haicheng LU, Yuehua LAI, Hao LIU, Rongming CHEN, Tianliang YU, Yan KANG, Chuliang WANG, Dalong WANG

“…The safety and availability of high pressure and large flow pumping stations have been improved through the innovative development of the intelligent early warning and diagnosis system of cloud edge end cooperation. A new type of shaft system based on herringbone gear pair input shaft and crankshaft is designed, which solves the problem of low stability of gear pair transmission system in megawatt pump station system. …”
Get full text

Edge Computing Architecture for the Management of Underwater Cultural Heritage by Jorge Herrera-Santos, Marta Plaza-Hernández, Sebastián López-Florez, Vladimir Djapic, Javier Prieto Tejedor, Emilio Santiago Corchado-Rodríguez

“…The platform processes data through a central unit installed on a buoy near heritage sites, enabling efficient data analysis and decision making without relying on cloud connectivity. Integrating acoustic communication systems, LoRa technology, and nonterrestrial networks supports a robust multilayered communication infrastructure for continuous operation, even in remote maritime areas. …”
Get full text

Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption by Sergio A Ortega, Pablo Fernández, Miguel A Martin-Delgado

“…As cloud services continue to expand, the security of private data stored and processed in these environments has become paramount. …”
Get full text

Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Gongliu Yang

“…The results consistently show that proposed method outperforms other techniques in preserving temporal continuity, reducing cloud–related noise, and maintaining the coherence necessary for deep learning models to effectively track crop growth patterns.…”
Get full text

Advancements in Machine Learning-Based Intrusion Detection in IoT: Research Trends and Challenges by Márton Bendegúz Bankó, Szymon Dyszewski, Michaela Králová, Márton Bertalan Limpek, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

“…Current trends indicate that larger or industry-specific datasets will continue to gain popularity alongside more complex ML models, such as deep learning. …”
Get full text

A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…Through physics-informed data-driven modeling, the framework significantly reduces the dependence on high-cost data while maintaining the performance of the original model. By leveraging cloud-based optimization modules that integrate new data with historical experience, the framework enables autonomous model parameter optimization, ensuring its continuous adaptation to the complex and dynamic demands of industrial scenarios.…”
Get full text

Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

“…MLLMs leverage transformer architectures to integrate heterogeneous data modalities for IoT applications, particularly real-time monitoring in remote areas. However, cloud computing dependency introduces latency, bandwidth, and privacy challenges, while IoT device limitations require efficient distributed computing solutions. …”
Get full text

AIoT-Enabled Data Management for Smart Agriculture: A Comprehensive Review on Emerging Technologies by Xu Luo, Shuming Xiong, Xiangchen Jia, Yu Zeng, Xiao Chen

“…Research indicates that, through the deployment of diverse sensing devices, low-latency short-range communications, wide-area wireless networks, cloud-edge collaborative computing, blockchain-based data storage, and AI-driven agricultural decision support systems, the data management framework of smart agriculture is undergoing continuous and intelligent enhancement. …”
Get full text

Trailing the heat: Eurasian teal Anas crecca schedule their spring migration basing on the increase in soil temperatures along the route by Giulia Cerritelli, Lorenzo Vanni, Natale Emilio Baldaccini, Alfonso Lenzoni, Michele Sorrenti, Dimitri Giunchi

“…We used Cox proportional hazard and generalized estimating equation models to evaluate the environmental cues that affect teal's decision to start migratory movements from the wintering grounds and continue migration from stopover sites. Apart from the anticipated effect of photoperiod, the onset of spring migration was not substantially influenced by environmental variables, whereas the speed of migration seemed to be influenced by both seasonal (increased ground temperature, an indicator of spring advancement) and local (low cloud cover and northward blowing winds, which support migratory flight) environmental cues. …”
Get full text