Results 111 to 120 of about 116,653,606 (265)

Data-Driven Modeling of Web Traffic Flow Using Functional Modal Regression

Axioms
Real-time control of web traffic is a critical issue for network operators and service providers. It helps ensure robust service and avoid service interruptions, which has an important financial impact. However, due to the high speed and volume of actual
Zoulikha Kaid, Mohammed B. Alamari
doaj   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Adaptive CPU frequency scaling for energy-efficient and sustainable edge computing under renewable energy uncertainty

Engineering Science and Technology, an International Journal
The inherent variability and intermittency of Renewable Energy (RE) sources present a major challenge to maintaining efficient and sustainable Internet of Things (IoT) ecosystems powered by Edge Servers (ES) and adaptive Central Processing Units (CPUs ...
Adeb Salh, Mohammed A. Alhartomi, Ghasan Ali Hussain, Saeed Alzahrani, Ahmed Alzahmi, Fares Suliaman Alromithy, Hock G. Goh, Nor Shahida Mohd Shah   +7 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Prediction of Surface Deformation Induced by Ultra-Shallow-Buried Pilot Tunnel Construction

Applied Sciences
The prediction of ground deformation during ultra-shallow-buried pilot tunnel construction is critical for urban rail transit projects in complex geological settings, yet existing cross-section models often lack accuracy.
Caijun Liu, Xiangdong Li, Yang Yang, Xing Gao, Yupeng Shen, Peng Jing   +5 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Multistage Stochastic Portfolio Optimisation in Deregulated Electricity Markets Using Linear Decision Rules [PDF]

The deregulation of electricity markets increases the financial risk faced by retailers who procure electric energy on the spot market to meet their customers’ electricity demand.
Paula Rocha, Daniel Kuhn
core  

Dual Role of Tamoxifen in Enhancing STING and CEACAM1 Expression to Prime a Favorable Tumor Microenvironment for Anti‐TIM3 Immunotherapy

Advanced Science, EarlyView.
Anti‐PD‐1/PD‐L1 blockade has revolutionized cancer immunotherapy, but is ineffective against endocrine‐treated (i.e., Tamoxifen), relapsed ER+ breast cancer (BC) patients. This study provides insight into the sub‐optimal response of ER+BCs to anti‐PD‐1/PD‐L1 blockade – highlighting the induction of STING and the CEACAM1/TIM3 axis after chronic ...
Marvin Angelo E Aberin, Saurabh Singh, Soumya Chatterjee, Guang‐Zhi Sui, Yi‐Fu Wang, Ya‐Ting Lu, Yu‐Ling Lee, Kun‐Yuan Lin, Joy Khag, Ta‐Yu Liu, Shao‐Han Chang, Wai‐Mui Cheung, Hsiao‐Chin Hong, Ren‐Jun Hsu, Chen‐Yang Shen, Chia‐Wei Li, Weng‐Lang Yang, Yao‐Ming Chang, Shih‐Yu Chen, Chandan Guha, Shu‐Ping Wang   +20 more
wiley   +1 more source

Experimental Measurement of Born Rule Deviation on IBM Quantum Hardware: Evidence for Non-Unity Tsallis Vacuum Index in the Coherent Ordering Dynamics Framework

We report Born rule precision tests conducted on IBM quantum hardware (backend: ibm_fez) using the Coherent Ordering Dynamics (COD) framework. The COD framework predicts a deviation from standard Born rule statistics of the form delta_P = (q-1) x (-0.3609) x p(1-p), where q is the Tsallis non-extensivity index derived analytically with no free ...
openaire   +8 more sources

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source