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Communications Engineering
Scopus
ISSN 2731-3395 · Nature Portfolio · 617 articles in the index
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Journal Article
Battery management systems for vehicle electrification
The use of electric vehicles contributes to sustainability efforts by reducing our reliance on fossil fuels and improving air quality. Communications Engineering is delighted to present its first complete Research Collection on the topic of Battery Management Systems for Vehicle Electrification…
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Journal Article
Digital twin-driven swarm of autonomous underwater vehicles for marine exploration
Abstract Swarm control of autonomous underwater vehicles (AUVs) has been recognized as the foundation for marine exploration. However, the implementation of this task faces two major constraints: excessive communication energy demands and limited environmental perception capabilities. This article…
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Pilot full-scale demonstration of a prototype table-top neutron resonance transmission analysis system for nuclear material detection
Abstract Neutron Resonance Transmission Analysis (NRTA) is a highly sensitive, non-destructive technique for nuclear material characterisation, but its application has been limited by its reliance on large, fixed, and costly installations. Here, we present a compact mobile NRTA system utilising a…
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Journal Article
Detecting faulty lithium-ion cells in large-scale parallel battery packs using current distributions
Abstract One of the main concerns affecting the uptake of battery packs is safety, particularly with respect to fires caused by cell faults. Mitigating possible risks from faults requires advances in battery management systems and an understanding of the dynamics of large packs. To address this, a…
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Journal Article
Editors’ Choice 2025
The editorial team present a selection of highlights of research published in Communications Engineering in 2025
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Oxide semiconductor gain cell-embedded memory: materials and integration strategies for next generation on-chip memory
Abstract The data processing demands of the digital era have exposed limitations in conventional memory architectures. Gain cell-embedded dynamic random-access memory based on oxide semiconductors is emerging as a solution, addressing scalability, power efficiency, and integration density…
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Journal Article
Cyber metasurface system for electromagnetic field closed-loop sensing and manipulation
Abstract Intelligent metasurfaces, capable of shaping the electromagnetic field, have been extensively investigated in diverse scenarios, including beamforming, wireless communication, and electromagnetic imaging. Adaptable metasurface control is essential for their applications in practical…
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Adaptive hierarchical learning for uncertainty-aware distributed energy resource planning
Abstract The proliferation of distributed energy resources introduces multi-source uncertainties, including implicit uncertainties arising from third-party operators’ partial observability of security constraints, challenging traditional distribution network planning methods dependent on model…
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Photo-activated ultrasound localization imaging with laser-activated nanodroplets
Abstract Super-resolution ultrasound localization (UL) imaging enables microvascular visualization beyond the acoustic diffraction limit, but is limited by the short circulation time and uneven distribution of microbubbles. Here, we present photo-activated UL (PaUL) imaging using laser-triggered…
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Journal Article
Harnessing synthetic biology for energy-efficient bioinspired electronics: applications for logarithmic data converters
Abstract Neuronal networks have driven advances in artificial intelligence, while molecular networks can provide powerful frameworks for energy-efficient information processing. Inspired by biological principles, we present a computational framework for mapping synthetic gene circuits into…
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Pilot and testbed facilities: when the lab scale may not be enough
Testbed and pilot facilities allow studies in real-world conditions—especially when scale matters. They often bring together universities and industry partners across borders, creating a space where collaboration thrives.
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Human-led truck platooning with lane-changing capability for more efficient logistics: a framework and implementation
Abstract Truck platooning promises to enhance the efficiency of logistics, but commercial operation is hampered by safety and economic concerns. Human-lead truck platooning can mitigate these challenges by leveraging a human driver’s expertise. However, existing human-lead truck platooning is…
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Journal Article
Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation
Abstract Large-volume 3D dense prediction is essential in industrial applications like energy exploration and medical image segmentation. However, existing deep learning models struggle to process full-size volumetric inputs at inference due to memory constraints and inefficient operator execution…
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Reasoning-agent-driven process simulation, optimization, carbon accounting and decarbonization of distillation
Abstract Distillation is the most energy-consuming unit operation of the chemical industry, however, its decarbonization strategy necessitates laborious manual process simulation, optimization and carbon emission accounting. Here we established a reasoning agent consisting of a large language model…
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Bridging modalities with AI: a review of AI advances in multimodal biomedical imaging
Abstract The rapid evolution of AI has facilitated innovative solutions in analysing different biomedical imaging modalities. By leveraging the complementary information from each modality, multimodal AI solutions have shown a huge potential to go beyond human capabilities and offer advances in…
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Thermal management of 3-D heterogeneously integrated microelectronics: challenges and future research directions
Abstract The increasing demand for high-performance computing, artificial intelligence, and advanced communication technologies has accelerated the development of compact, energy-efficient, and multifunctional three-dimensional heterogeneously integrated (3-DHI) microelectronics. While such…
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Microengineering of the capillary interface of midbrain dopaminergic neurons to study Parkinson’s disease vascular alterations
Abstract Parkinson’s Disease (PD) involves not only α-synuclein pathology in dopaminergic neurons but also vascular impairments that remain underexplored due to limitations of traditional in vitro models. Here we present a microengineered 3D neurovascular midbrain model that reconstructs the…
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Journal Article
Accelerating CEST MRI through complementary undersampling and multi-offset transformer reconstruction
Abstract Chemical exchange saturation transfer (CEST) is a promising magnetic resonance imaging (MRI) technique that provides molecular-level information in vivo. To obtain this unique contrast, repeated acquisition at multiple frequency offsets is needed, resulting a long scanning time. In this…
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Journal Article
DeBCR: a sparsity-efficient framework for image enhancement through a deep-learning-based solution to inverse problems
Abstract Computational image enhancement for microscopy facilitates cutting-edge biological discovery. While promising, the commonly used deep learning methods are computationally expensive owing to the use of general-purpose architectures, which are inefficient for microscopy data. Here, we…