A novel video-based stress detection system with speaking awareness that dynamically processes facial features according to online detection of speech activities to demonstrate the system's applicability to real-world applications in stress tracking across healthcare, educational, and workplace well-being contexts.
Ahmad Rafiqan, Rachmad Setiawan, T. Sardjono· JAREE (Journal on Advanced R...· 0 citations
The methods through which smart farming and human-wildlife conflicts can be reduced are discussed, based on increasing scalability and sustainability through use of satellite data, multimodal sensing and community-based warning systems.
Patil Rohit Uttam, Bhopale Dr. S. D.· Indian Journal of Electronic...· 0 citations
The results demonstrate the potential of adaptive reward weighting to provide a systematic mechanism for controlling the exploration–imitation trade-off and enhancing the stability and robustness of GAIL-based policy learning while retaining the exploration advantages of the TD3-SAC hybrid framework.
Mehran Ali, Zia Ullah, Aliza Ashfaq· Journal of Engineering and C...· 0 citations
We study weighted periodic-orbit zeta functions for an infinitely cusped tree lattice $Y_q$, where $q\ge2$ is even and the quotient is a one-sided comb. The global Euler product fails coefficientwise because infinitely many primitive cycles have length four. A first-return determinant at a finite directed-edge set neve...
Sanghoon Kwon· 0 citations
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Level graphs and strong level graphs are introduced as tools to define and compute the chromatic number of BIFGs, demonstrating that the proposed level-graph method yields exact chromatic numbers for classes of BIFGs.
Fikadu Tesgera Tolasa, V. N. S. R. Repalle, G. A. Ganati et al.· F1000Research· 0 citations
We present a self-consistent hybrid global–2D model for reactor-scale simulation of SF
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/Ar ICP etching. Unlike prior reactor-scale hybrids, which couple two spatial solvers, the framework couples a 0D global SF
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/Ar chemistry solver to a 2D axisymmetric electromagnetic and species-transport solver through a...
Muhammad A. E. Abdelghany, Zachariah Ngan, D. Qerimi· Journal of Physics D: Applie...· 0 citations
We study the formation and interaction of dispersive shock waves (DSWs) in the two-dimensional Toda lattice subject to wedge-type initial conditions, and show that their interaction gives rise to a discrete analog of Mach reflection for dispersive shock waves in discrete systems. The initial jump across each leg of the...
M. Calabrese, G. Biondini, C. Chong et al.· 0 citations
Tuning the reservoir Hamiltonian and the evolution time with Bayesian optimization at each encoding length, it is found that recurrent quantum memory is essential when a task must reach far into the past, and dispensable when the relevant history is short, where the memoryless reset limit already suffices.
Carlos Ramon-Escandell, Arnau Riera, M. Płodzień· 0 citations
This work develops a multi-agent proximal policy optimization (MAPPO) algorithm to achieve a long-term optimal tradeoff between energy consumption and latency and demonstrates that under identical hyperparameter settings and training episodes, MAPPO achieves stable convergence and outperforms other MADRL baselines.
Video large language models (VLLMs) enable powerful multimodal reasoning but face severe efficiency challenges on edge devices due to the massive computational and memory demands caused by lengthy video-token sequences. Existing methods struggle to efficiently compress spatiotemporally redundant tokens while minimizing...
Pinfeng Jiang, Letian Wang, Yilong Fang et al.· IEEE Transactions on Very La...· 0 citations
On graph discrimination it is proved a matching limitation: on graphs where every edge sees the same number of shortest cycles of the same length, the descriptor becomes constant and any model built on it collapses back to the 1-WL bound.
DronesCATS-Agent, an architecture where the MLLM is a swappable component, and DroneCATS, a benchmark treating the model as the independent variable are introduced, an architecture where the MLLM is a swappable component and DroneCATS, a benchmark treating the model as the independent variable.
Jaewoo Park, Minyoung Lee, Sukmin Seo et al.· 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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