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Soil test crop response based fertilizer calibration and soil nutrient forecasting for aerobic rice on Alfisols of Southern India
Aero-LiteNet: robust aerial small object detection via multi-scale fusion and neighborhood-aware optimization
Edge based distributed framework for real time hazard detection and road safety in smart transportation
Abstract The main drawbacks of centralized smart-transportation pipelines are latency, bandwidth, and scalability limitations, which restrict the real-time detection and notification of hazards. Intended to develop and test a distributed edge structure capable of supporting low-latency, efficient hazard detection and disseminated alerts widely and quickly. We combine the edge-based IoT sensing (roadside units, in-vehicle devices, mobile crowdsensing) and local processing at the edge nodes. A combination of ensemble machine-learning (Random Forest, Gradient Boost) with Probabilistic Cellular Automata and Markov Decision Processes to predict hazards based on the speed, density, and environmental conditions of the traffic. An alert distribution layer (V2X, V2V, V2N) is one of the layers of the SUMO simulations, which benchmarks performance on centralized and scheduling benchmarks (RR, LC, FCFS, SJF, Random). The framework has a maximum hazard-identification precision of up to and including 95 percent when simulated, can reduce its alert latency to 0.2 to 0.3 seconds (compared to a baselines minimum of 0.8 to 1.5 seconds), consumes less energy, and balances its loads (lowest 0.04-0.7-sigma edge-node load) and achieves high throughput (27 to 30 tasks/s) with exceptionally good scalability and low drop rates. A V2X distributed edge architecture with V2X and hybrid ML/PCA/MDP analytics can provide accurate, low-latency hazard detection and alerts, and is superior to centralized methods, offering a practical foundation for safer and more resilient transportation in both urban and rural settings.
Fe-W co-doped V2O5 nanostructures with enhanced oxygen vacancy generation for photocatalytic dye degradation
Fe-based metallic glasses as efficient oxygen scavengers
Region guided mask R-CNN with Haralick ResNet fusion for accurate coronary artery disease detection in computed tomography angiography images
Origin of multiple skyrmion phases in EuAl4
Prenatal diagnosis strategies and pregnancy outcomes in the Luohe region of China in the context of increasing maternal age
Generalizable growth of 2D twisted transition metal dichalcogenide heterostructures under non-equilibrium thermodynamic conditions
3D models for oral inflammation using gingival fibroblasts, lipopolysaccharides and hypoxia
Author Correction: Coordination-tailored atomic interfaces for selective CH4-to-C2 conversion in aqueous solution
Prediction of premature rupture of fetal membranes using deep learning in East China
Observation of D’yakonov-Perel’-type magnon spin relaxation in uniaxial antiferromagnetic insulators
Forecasting toxic metal concentrations in an inland sea ecosystem with machine learning algorithms
Electric current-driven heterogeneous microstructures in dual-phase titanium alloys
Virtual bone-implant contact surface effect on implant stability in fresh extraction and healed sites: a pilot randomised clinical trial
Structural atlas of the intact jumbo phage phiKZ
Preliminary evidence of kinematic overlap in posed, but not spontaneous, facial expressions of fear and surprise
Author Correction: National analysis of cancer mortality and proximity to nuclear power plants in the United States
Rational Construction and Modulation of Built‐In Electric Field for High‐Efficiency Alkali Metal‐Based Batteries
ABSTRACT With the large‐scale adoption of electric vehicles and the ongoing integration of renewable energy into the grid, the development of high‐performance alkali metal‐based batteries (AMBs) has become increasingly important. However, AMBs still face several challenges, such as limited energy density, insufficient rate capability, and short cycle life, which mainly stem from sluggish ionic diffusion kinetics and unstable electrode structural evolution. In recent years, built‐in electric field (BIEF) engineering has attracted extensive attention as an effective strategy to enhance battery energy storage performance by regulating the microstructure of materials. This review begins with the key challenges currently faced by AMBs, systematically analyzes the potential of BIEF in addressing these issues, and elaborates on the fundamental principles, evaluation methods, and construction strategies of BIEF. Furthermore, the latest research progress on BIEF engineering for improving the electrochemical activity, reaction kinetics, and cycling stability of AMBs is summarized. Finally, future research directions in BIEF engineering are discussed, providing new insights for designing high‐performance AMBs with tunable built‐in electric fields.