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Applied Sciences, Vol. 16, Pages 8931: Improved Variational Mode Decomposition for Magnetotelluric Data Denoising Combined with Transformer Neural Network
4+ day, 14+ hour ago (294+ words) Magnetotelluric (MT) transfer-function estimation is severely challenged by strong industrial interference and random noise in complex observation environments. Here, we introduce a hybrid denoising framework that integrates Transformer-based interference identification with particle swarm optimization–variational mode decomposition (PSO-VMD). The Transformer…...
Applied Sciences, Vol. 16, Pages 8688: MTENet: A Multi-Representation Time-Series Evidential Network for Automated Heart Murmur Detection from Phonocardiogram Signals
1+ week, 5+ day ago (576+ words) Early diagnosis is essential for the effective management of cardiovascular diseases (CVDs). Although conventional auscultation is the primary screening method, its reliance on subjective interpretation and susceptibility to clinical background noise have positioned phonocardiogram (PCG) analysis as a key diagnostic…...
Applied Sciences, Vol. 16, Pages 8589: A Flexible Framework for the Spatial Extension of Hyperspectral Classification Maps Using Multispectral Data
2+ week, 1+ day ago (411+ words) Hyperspectral (HS) sensors offer high spectral discrimination but generally limited spatial coverage, whereas multispectral (MS) sensors provide broad coverage with lower spectral detail. HS-MS complementary mapping aims to reduce coverage gaps in HS sensors by training classifiers within HS-MS overlap…...
Applied Sciences, Vol. 16, Pages 8575: A Hybrid Computing Power Demand Prediction and Proactive Resource Scheduling Method for Edge Computing in Smart Agriculture
2+ week, 1+ day ago (457+ words) Modern smart agriculture increasingly relies on edge computing for real-time, high-concurrency tasks such as wide-area drone-based crop monitoring. However, highly volatile workloads and severe environmental noise in agricultural Internet of Things (IoT) networks often lead to resource congestion and high…...
Applied Sciences, Vol. 16, Pages 8384: FTT-Transformer: A Feature-Time Tokenization Approach with Multi-Head Self-Attention for Oilfield Production Forecasting
2+ week, 6+ day ago (680+ words) Oilfield production forecasting serves as the decision-making basis for monthly production allocation and injection–production system optimization. Existing mainstream prediction methods face significant limitations: the Arps decline curve extrapolates historical production trends, yet its accuracy degrades rapidly following adjustments to…...
Applied Sciences, Vol. 16, Pages 8332: Enhancing End-to-End Graphite Ore Grade Detection via Boundary-Aware Refinement, Bidirectional Fusion, and Difficulty-Aware Distillation
3+ week, 1+ day ago (453+ words) Graphite ore grade sorting is a key step toward intelligent mineral processing; however, it faces three representational contradictions: ambiguous classification posteriors at grade boundaries, asymmetric multi-scale feature interaction, and the mismatch between class-agnostic self-distillation assignment and sample-level difficulty. Targeting these,…...