We study capability of the ILC beam dump experiment to search for new physics, comparing the performance of the electron and positron beam dumps. The dark photon, axion-like particles, and light scalar bosons are considered as new physics scenarios,...
Two 6-t beam dumps, made of a graphite core encapsulated in a stainless steel vessel, are used to absorb the energy of the two Large Hadron Collider (LHC) intense proton beams during operation of the accelerator. Operational issues started to appear...
Structural vibration testing plays a key role in aerospace engineering for evaluating dynamic behaviour, ensuring reliability and verifying structural integrity. These tests rely on accurate and robust data acquisition systems (DAQ) to capture high-q...
Deep Learning (DL) has revolutionized the capabilities of vision-based systems (VBS) in critical applications such as autonomous driving, robotic surgery, critical infrastructure surveillance, air and maritime traffic control, etc. By analyzing image...
Deep convolutional neural networks (CNN) have revolutionized various fields of vision research and have seen unprecedented adoption for multiple tasks such as classification, detection, captioning, etc. However, they offer little transparency into th...
Nov 11, 2025 · Praia is the capital city of Cape Verde, strategically located on the southern coast of Santiago Island. This vibrant city is more than just the political hub of the archipelago; it is a lively …
Located on the southern coast of Santiago island within the Sotavento Islands group, the city is the seat of the Praia Municipality. Praia is the political, economic and cultural center of Cape Verde. A …
This survey presents the evolution of live media streaming and the technological developments behind today's IP-based low-latency live streaming systems. Live streaming primarily involves capturing, encoding, packaging and delivering real-time events...
The LISA International Science Team Working Group on Data Analysis (LIST-WG1B) is sponsoring several rounds of mock data challenges, with the purpose of fostering development of LISA data-analysis capabilities, and of demonstrating technical readin...
The LISA International Science Team Working Group on Data Analysis (LIST-WG1B) is sponsoring several rounds of mock data challenges, with the purposeof fostering the development of LISA data analysis capabilities, and of demonstrating technical rea...
Let's think about it. The Xbox One S is capable of playing CDs, DVDs, Blu-ray, 4K UHD Discs, play many Xbox & 360 titles via backwards compatibility, Xbox One games, use media apps like Netflix or...
I know what most people want is better hardware for graphics/performance and to not have to scale back the first party devs creative scope/vision, as well as 3rd party devs like capcom fromsoft ubisof...
We explore how to capture the significance of a sub-text block in an article and how it may be used for text mining tasks. A sub-text block is a sub-sequence of sentences in the article. We formulate the notion of content significance distribution (C...
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2 days ago · Syria is a country located on the east coast of the Mediterranean Sea in southwestern Asia. The capital is Damascus. Find a geographical and historical treatment of Syria, including maps, …
With the vast data-collecting capabilities of current and future high-energy collider experiments, there is an increasing demand for computationally efficient simulations. Generative machine learning models enable fast event generation, yet so far th...
2 days ago · Mexico City, the capital, is one of the most populous cities and metropolitan areas in the world. Mexico has experienced a series of economic booms leading to periods of impressive social …
Explainability is needed to establish confidence in machine learning results. Some explainable methods take a post hoc approach to explain the weights of machine learning models, others highlight areas of the input contributing to decisions. These me...
Hardware trojan detection methods, based on machine learning (ML) techniques, mainly identify suspected circuits but lack the ability to explain how the decision was arrived at. An explainable methodology and architecture is introduced based on the e...
Recent advancements in large language models (LLMs) and agentic systems have shown exceptional decision-making capabilities, revealing significant potential for autonomic finance. Current financial trading agents predominantly simulate anthropomorphi...