Remote sensing is a key enabling technology for intelligent vehicle and transportation systems, as it acquires environmental and traffic data beyond the vehicle’s visual range. However, in practical scenarios, the lack of flexible collaboration between sensing nodes and computing facilities leads to low efficiency in t...
Yang Yu, Wen-Hao Fan, Chenhui Bao et al.· IEEE Transactions on Mobile...· 0 citations
Introduction Tomato leaf diseases substantially reduce crop yield and fruit quality, creating a need for accurate, computationally efficient, and potentially deployable image-based disease-screening systems for precision agriculture. This study presents an Attention-Enhanced YOLOv8n-CLS framework for tomato leaf diseas...
Umesh Kumar Lilhore, J. Rexy, Kayal Padmanandam et al.· Frontiers in Plant Science· 0 citations
Driven by their outstanding capabilities in enhancing energy and spectral efficiencies, ambient backscatter communication (ABC) and rate-splitting multiple access (RSMA) have emerged as pivotal technologies for future wireless networks. This paper develops a novel hybrid RSMA-TDMA framework tailored for unmanned aerial...
In the pricing matrix of pairwise compositions of the five basic operators of dimensional surgery—condensation (dimension reduction), dimension raising, suturing, phase transition, and annihilation—the deviation of dimension raising–suturinghas already been fixed as interface fiber information, and condensation–annihil...
changzheng zhou, ziqing zhou· Zenodo (CERN European Organi...· 0 citations
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By superimposing a time‑dependent phi‑scaled vector potential on the 132 Hz‑tuned E8 root‑vector lattice, we engineer synthetic gauge fields whose flux quanta lock to the φ³ and 1/φ³ harmonic intervals identified in the phase‑conjugate resonance channels. These fields split the degenerate zero‑energy manifold of the 67...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
The rapid development of mobile medical diagnostic systems, wearable sensors, the Internet of Medical Things, edge computing, and artificial intelligence enables a transition from episodic physiological measurements toward continuous personalized patient monitoring. At the same time, increasing hardware-software comple...
Tymashov E.· Zenodo (CERN European Organi...· 0 citations
Paper II of two. Paper I (10.5281/zenodo.23010937, Version 3) defines the action and proves the 1+1-dimensional theorems. This paper treats d ≥ 3. Provenance: its content is the higher-dimensional part of the earlier single manuscript (Versions 1–2 of the Paper I record), revised after two external audits, an internal...
Aaditya Bhatt· Zenodo (CERN European Organi...· 0 citations
EL-RAKHAWI COSMIC BIO-INTEGRATION FRAMEWORKAuthor: Dr. Mohamed Kamal Arafa El-Rakhawi | DOI: 10.5281/zenodo.23361497 A paradigm-shifting monograph unifying advanced energy systems, hybrid quantum-classical computing, synthetic biology, and two-dimensional materials into self-sustaining systems for extreme environments...
mohamed kamal arafa el-rakhawi· Zenodo (CERN European Organi...· 0 citations
In Question 9.1 of his survey "Euclidean vs. Graph Metric" (2013), Benjamini considers first-passage percolation on the hierarchical graphs G_n obtained by replacing, recursively, every edge by one edge followed by two parallel edges. With independent positive edge weights of law ξ, the source–sink distance satisfies D...
Alper Ferudun· Zenodo (CERN European Organi...· 0 citations
O mercado industrial comercializa o monitoramento de vibração via acelerômetros piezoelétricos sob a nomenclatura de "manutenção preditiva". No entanto, sob rigorosa análise física, esta instrumentação atua apenas como um sistema de monitoramento de degradação assistida. Este artigo demonstra matematicamente que o desl...
Reinaldo Silva· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) workloads are rapidly increasing energy demand across distributed cloud and edge computing infrastructures. Existing carbon-aware scheduling studies often focus on optimisation strategies, with limited integration between workload telemetry, forecasting, and deployable scheduling architectu...
Background/Objectives: Optimizing coronary image quality is important in emergency computed tomography (CT), including coronary CT angiography (CCTA) and triple-rule-out CT angiography (TRO-CTA). We compared objective and subjective image quality between cardiac-specific artificial intelligence (AI) reconstruction and...
Sung Min Ko, Hyunjung Kim, Sung-Jin Cha et al.· Journal of Clinical Medicine· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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