Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:21:56.710922Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2607.19590.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:21:56.710922Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
82 of 82 outbound references displayed
External citation measurements
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Observation 368457a1-d9f1-40b8-88f4-062e6b3f4ac6 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Internet of things (iot): A vision, architectural elements, and future directions,
Reference 1
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Observation 6625729f-e393-4b70-b3c5-87d606a59974 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks The internet of things: A survey,
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Observation 40599b92-770b-4573-a7cb-873464fdc63d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Internet of things for smart cities,
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Observation 5f32670a-a058-4210-8cfd-ede603a86182 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Internet of things: A survey on enabling technologies, protocols, and applications,
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Observation 99da3bf8-040e-4a41-a02d-4678c09842c6 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Wireless sensor network survey,
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Observation 7cf10584-30cc-47e2-be03-b9e482d5b7de · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Energy conservation in wireless sensor networks: A survey,
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Observation 2a2c22b1-f77e-48fa-b460-f56d812f9c74 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Wireless sensor networks: A survey,
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Observation 0332f1b5-08e4-4c87-b966-680f9b31ed42 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Wireless sensor networks: A survey on recent developments and potential synergies,
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Observation 1a2f0ddb-2ce4-4bca-b09a-de24cad0b824 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Data transmission reduction schemes in wsns for efficient iot systems,
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Observation 36e72554-a81c-4a6b-b611-c0d90d5edbeb · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks A new data aggregation scheme based on sparse representation for wsns,
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Observation f64e98b2-cfa5-4ae3-83c6-090f77de2f9c · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks A survey about prediction- based data reduction in wireless sensor networks,
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Observation 4183d5b5-3313-40ed-9f51-70e9207d2015 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Adaptive model selection for time series prediction in wireless sensor networks,
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Observation 530ef488-b3c0-48f5-b99c-5648499c3ffc · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks An improved adaptive dual prediction scheme for reducing data transmission in wireless sensor networks,
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Observation fdd845ce-9bf6-40e1-8fa2-a6928d2aeb8d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks An energy- efficient dual prediction scheme using lms filter and lstm in wireless sensor networks for environment monitoring,
Reference 14
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Observation 91c16bfd-478f-44a4-88b2-8b6f72257baa · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Predictive data reduction in wireless sensor networks using selective filtering for engine monitoring,
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Observation 695f1969-dbde-4e0b-9ec1-fb8b36a6cf87 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Evaluation of deep learning methods in a dual prediction scheme to reduce transmission data in a wsn,
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Observation d993bc7e-eafb-49b8-bfbe-b009d6111b3d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks The impact of dual prediction schemes on the reduction of the number of transmissions in sensor networks,
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Observation 41c2fe91-769a-40af-b414-d32530b0726f · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Practical data prediction for real-world wireless sensor networks,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Representation learning and nature encoded fusion for heterogeneous sensor networks,
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Observation e46707f9-42a2-4e08-a972-d3e8e7bc6f3d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Congestion aware dynamic user association in heterogeneous cellular network: A stochastic decision approach,
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Observation c884df91-a2ae-4de6-b4a7-ea166bfb755b · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Enhanced robustness by symmetry enforcement,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Partial interference alignment for heterogeneous cellular networks,
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Observation 207f5ddb-f043-4eff-80cd-9a7e448e303a · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Optimization for user centric massive mimo cell free networks via large system analysis,
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Observation 5c707a2e-d16c-4428-95ee-2db74ae1179d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Explaining the behavior of neuron activations in deep neural networks,
Reference 24
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Observation 5468ec75-5bf0-4981-85b7-bae39650cf36 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Exploration vs exploitation for distributed channel access in cognitive radio networks: A multi-user case study,
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Observation cd68147a-0752-4bc1-bc01-325711c8570c · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Deep reinforcement learning based computation offloading for mobility-aware edge comput- ing,
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Observation 82251eab-9577-42da-a16f-56a53db8b0ba · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Performance analysis of cooperative multicell precoding with global csi and local individual csi in the large dimensional regime,
Reference 27
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Observation 721c996a-c435-47d8-bfdf-b5d475f0ae34 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Low complexity optimization for user centric cellular networks via large dimensional analysis,
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Observation eeffe0a1-a15d-42c9-bf8b-02699172adb8 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Improving robustness of deep neural networks via large-difference transformation,
Reference 29
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Observation faeed560-a5db-4f9e-bc4b-8a32b53042dc · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Looking beyond content: Modeling and detection of fake news from a social context perspective
Reference 30
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Observation 1841c052-6361-4549-a5f1-c1ddaf8adcec · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Large system analysis for densification of cellular networks with massive mimo,
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Observation c87d32d6-571d-485e-b7bb-3bb5428829ef · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Collaborative spectrum sharing based on information pooling for cognitive radio networks with channel heterogeneity,
Reference 32
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Observation 72e7e636-a05c-4b82-881f-5ca7f1eb5449 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness
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Observation 1cf30b93-8410-4e80-9942-6ce96fd86a63 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Information theory and representation learning inspired multimodal data fusion,
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Observation 109a6632-d89e-494b-b2a4-75a58f1c3e0a · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Bridging Interpretability and Robustness Using LIME-Guided Model Refinement
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Observation 0566d741-fbcb-46b6-a8e0-1952b7f9c5f1 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
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Observation bea4fb99-4077-4342-89cc-2b84f9982f1b · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Explainability- driven defense: Grad-cam-guided model refinement against adversarial threats,
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Observation 7e521ec3-4c23-48a1-a2eb-e1d647838e9a · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Multi-scale unrectified push-pull with channel attention for enhanced corruption robustness,
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Observation f47c8938-aa68-4cf4-99d8-ef7dfdcd880d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Expert-guided explainable few- shot learning for medical image diagnosis,
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Observation 70b6b7c6-f7e1-4e7a-84c8-457d29588b7a · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Shape- aware thoracic edge map chest x-ray representation for pulmonary ab- normality screening,
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Observation e7884f53-ae61-40a8-8ce3-0b876a66af77 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Expert-guided explainable few- shot learning with active sample selection for medical image analysis,
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Observation 2b8d50db-955d-4846-9f4e-c242f59dad95 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Bridging symmetry and robustness: On the role of equivariance in enhancing adversarial robustness,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Channel- selected stratified nested cross-validation for clinically relevant eeg-based parkinson’s disease detection,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Winsor-cam: Human-tunable visual explanations from deep networks via layer-wise winsorization,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Promoting shape bias in cnns: Frequency-based and contrastive regularization for corruption robustness,
Reference 47
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Learning to select like humans: Explainable active learning for medical imaging,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Explainable Novel Category Discovery in Semantic Concept Space
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Observation 6c8cb14b-cdb1-459e-bbc6-6bdb6cde63c6 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs
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Observation df0b7841-4b1d-41ee-9ccb-a0b24069fe1d · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Frequency- aware contrastive learning for robust shape-biased convolutional neural networks,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Explainability-guided defense: Attribution-aware model refinement against adversarial data attacks,
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Observation 8e611ce0-6b43-404c-abfe-de03c0950fea · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Large dimensional analysis of cooperative multicell precoding with local individual csi,
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Observation 894b5136-e8ab-460d-91ca-ac5e27048f81 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks An adaptive method for data reduction in the internet of things,
Reference 54
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks An adaptive strategy for quality-based data reduction in wireless sensor networks,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Adaptive stream resource management using kalman filters,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Energy efficient information collection with the arima model in wireless sensor networks,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks A new approach to linear filtering and prediction problems,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Unresolved cited work
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Haykin,Adaptive Filter Theory, 4th ed
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks A survey on concept drift adaptation,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Incremental on-line learning: A review and comparison of state-of-the-art algorithms,
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Observation 83a779ab-1be9-42c2-b69a-8323ab660f7a · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Learning from time-changing data with adaptive windowing,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Unresolved cited work
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Evaluating short-term forecasting of multiple time series in iot environments,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Sliding- window signatures for time series: Application to electricity demand forecasting,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Friedman, T
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Benchmarking TinyML Systems: Challenges and Direction
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Warden and D
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Telos: Enabling ultra-low power wireless research,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Taming the underlying challenges of reliable multihop routing in sensor networks,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Ridge regression: Biased estimation for nonorthogonal problems,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Regression shrinkage and selection via the lasso,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Unresolved cited work
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Unresolved cited work
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Unresolved cited work
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Observation 7f532ce1-9310-46e3-8442-7fb3acc85ad2 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Beach weather stations — automated sensors,
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Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Intel lab data,
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Observation 45cbefae-f672-47b4-8ba3-0cd892a0944c · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Energy consumption and tradeoffs in wireless sensor networks,
Reference 81
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Observation 6b8750d2-8976-46a8-8282-e26485aecd63 · outbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Energy-efficient wireless sensor networks for precision agriculture: A review,
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