Cybercrime has been on the rise, especially with the surge in zero-day attacks targeting various industries. State-sponsored actors, like Chinese groups, dominate zero-day exploits, challenging traditional detection methods. Incorporating AI, machine learning, and deep learning is vital in enhancing

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Anomaly Detection Tool (ADT) aims to automate the detection of network degradation in a mobile communications network, reducing the time and effort required significantly. By utilizing statistical and machine learning models, ADT can generate anomaly reports efficiently across a large circle network

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Utilizing mmWave radar technology for drone detection offers solutions to concerns such as surveillance, drug smuggling, hostile intent, and invasion of privacy. The compact and cost-effective mmWave radar systems enable efficient detection and classification of drones, including those with minimal

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Explore how LLVM-GitBOM utilizes artifact dependency graphs to detect vulnerabilities in software dependencies. The presentation covers the overview of GitBOM, CVE detection, supply chain vulnerabilities, and the importance of precise build tools in vulnerability scanning. Learn about utilizing gito

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Dr. Thomas J. Valvano discusses the high incidence of child physical abuse in Oregon, highlighting the often unrecognized nature of these cases until severe injury or death occurs. He emphasizes the importance of early detection to prevent further harm. The presentation includes insights on missed d

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An Intrusion Detection System (IDS) is crucial for defending computer systems against attacks, with machine learning playing a key role in anomaly and misuse detection approaches. The 1998/1999 DARPA Intrusion Set and Anomaly Detection Systems are explored, alongside popular machine learning classif

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This work package focuses on assessing feasibility issues and technological challenges of RF systems for a high-energy muon collider. Tasks include defining RF systems for acceleration and cooling complexes, addressing high gradients, beam loading, breakdown mitigation, and optimizing cavity distrib

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Explore the cutting-edge NC22Plex STR Detection Kit from Jiangsu Superbio Biomedical, offering a 5-color fluorescence detection system suitable for multiple applications. Enhance your research capabilities with this innovative product designed for precision and efficiency.

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Melanoma, a type of skin cancer, can be life-threatening if not diagnosed early. This study presented at the IEEE EMBC conference focuses on using a convolutional neural network for automated detection of melanoma lesions in clinical images. The importance of early detection is highlighted, as exper

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Utilizing Python code, the study analyzes the limits of accelerator dipole and quadrupole for the Muon Collider. Analytic formulas are implemented to assess the behavior of these components based on critical current density, operating temperatures, and superconductor materials. The study explores li

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Nanomaterials, particularly magnetic rod-based metal-organic frameworks composites, are gaining attention for their exceptional properties and various applications in different fields. This study by Benjamin Edem Meteku focuses on using these composites for colorimetric detection of hydrogen peroxid

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The SnowMass2021 Accelerator Frontier AF7 focuses on Accelerator Technology R&D, exploring targets and sources such as high brightness electron sources, muon sources, and high intensity ion sources. The community planning meeting discussed various Letter of Interest submissions outlining innovative

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Explore the neutron multiplicity measurement in muon capture on oxygen using Super-Kamiokande, a water-Cherenkov detector located underground in Japan. Gadolinium was added to enhance neutron tagging efficiency, aiding in Supernova observation, proton decay rejection, and more. Neutron signals are t

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This report details the progress of the Water Cerenkov Detector Array (WCDA) experiment conducted by Mingjun Chen on behalf of the WCDA Group. It includes information on the introduction to the experiment, R&D of the Water Cerenkov Detector Unit, measurement of muon events, water quality control, pr

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Conducted at the Max Planck Institute for Physics in Munich, this study focuses on the detection efficiency of thin-gap Resistive Plate Chambers. The research explores the construction, working principles, and experimental setup of RPCs, emphasizing the need for sensitive frontend electronics for hi

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The Visible Infrared Imaging Radiometer Suite (VIIRS) program, a joint effort between NASA and NOAA, focuses on weather prediction and boat detection using low light imaging data collected at night. The VIIRS system provides global coverage with sensitive instruments and efficient data flow processe

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This project focuses on real-time cough and sneeze detection for assessing disease likelihood and individual well-being. Deep learning, particularly CNN and CRNN models, is utilized for efficient detection and classification. The team conducted a literature survey on keyword spotting techniques and

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Performance, activities, machine downtime, and G-2 experiment status for the past week at the Muon Campus were assessed in the operation report. Key highlights include G-2 beam delivery, maintenance work completion, impact of RF issues on studies, machine downtime details, and the integrated perform

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Learn how San Diego leak detection services can help protect your home from water damage. Discover the signs of leaks, advanced detection technologies, and tips to prevent costly repairs. Stay ahead with proactive slab leak detection and expert solut

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The GOES-R ABI Aerosol Detection Product (ADP) Validation was conducted by Shobha Kondragunta and Pubu Ciren at the NOAA/NESDIS/STAR workshop in January 2014. The validation process involved testing and validating the ADP product using proxy data at various resolutions for detecting smoke, dust, and

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Detection of coughs and sneezes plays a crucial role in assessing an individual's health condition. This project by Group 71 focuses on real-time detection using deep learning techniques to analyze audio data from various datasets. The use of deep learning models like CNN and CRNN showcases improved

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This study focuses on the development of a satellite passive microwave snowfall detection algorithm, highlighting the challenges in accurately determining snowfall using satellite instruments. The algorithm uses data from AMSU/MHS, ATMS, and SSMIS sensors to generate snowfall rate estimates, overcom

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Two-dimensional parity and Cyclic Redundancy Check (CRC) are data error detection methods used to ensure data integrity during transmission. Two-dimensional parity involves organizing bits in a table to calculate parity bits for data units and columns, while CRC appends a string of zeros to the data

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GRANDproto project workshop held in May 2017 focused on improving autonomous radio detection efficiency for the detection of extensive air showers (EAS). Issues such as detector stability and background rates were discussed, with the goal of establishing radio detection as a reliable method for EAS

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Protect your home with expert leak detection services in San Diego. Avoid costly water damage and health risks with timely detection of hidden leaks. Schedule today!\n\nKnow more: \/\/ \/san-diego-slab-leak-detection\/

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Protect your home from costly damage with professional leak detection in San Diego. Learn about expert services like slab leak detection, non-invasive testing, and more. Save money and prevent water damage with top San Diego leak detection services.\

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Learn about EPA requirements for tank leak detection, release detection methods, and compliance methods for monitoring tank systems. Understand the importance of implementing effective leak detection systems to prevent contamination and comply with federal regulations, including Automatic Tank Gaugi

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Jiaxuan Wang presents an update on Sci-ECAL MIP results as of March 8, 2024. The new method for muon energy reconstruction involves multiple fittings to exclude noise hits and obtain the real track and hits. The muon energy is estimated around 0.3049 MeV using new MIP calibration results. Despite pr

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The Muon Phase 2 upgrade project aims to improve the performance of muon detectors for the HL-LHC conditions. Collaborating with INFN, the project focuses on maintaining excellent triggering and measurement capabilities under harsher conditions. Key aspects include existing detector consolidation, n

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Gas detection instruments play a crucial role in assessing the presence of hazardous atmospheres in the gas industry. This study focuses on the impact of adding hydrogen up to 20% in natural gas blends on gas detection instruments. The aim is to understand any potential inaccuracies in readings and

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Discover the importance of timely leak detection in San Diego. Prevent costly water damage, reduce bills, and protect your home with professional leak detection services. Learn more about slab leak detection and prevention today!\n\nKnow more: \/\/m

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Colin Johnson advocated for a mercury jet target as the next step for muon production post-ACOL. Current studies focus on a carbon target with proton beam parameters optimized for muon generation. Carlo Rubbia discussed a potential Muon-Collider Higgs Factory concept at CERN, sparking debate on muon

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The use of non-radioactive probes in molecular detection involves synthetic DNA or RNA molecules with specific target sequences and reporter groups detectable via fluorescence spectroscopy. Direct and indirect labeling methods utilize fluorescent dyes or enzymes conjugated to modified nucleotides, a

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Intrusion Detection Systems (IDS) play a crucial role in network security by analyzing traffic patterns and detecting anomalous behavior to send alerts. This summary covers the basics of IDS, differences between IDS and IPS, types of IDS (host-based and network-based), and the capabilities of Snort,

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An overview of the importance of network intrusion detection, its relevance to anomaly detection and data mining, the concept of anomaly-based network intrusion detection, and the economic impact of cybercrime. The content also touches on different types of computer attacks and references related to

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Discussion at the US Muon Collider Community Meeting highlighted advancements in muon accelerator technology, with a focus on the Demonstrator by Katsuya Yonehara. Key topics included the layout of the muon accelerator complex, achievements in ionization cooling, and the MERcury Intense Target. The

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LD-Sketch is a novel distributed sketching design for accurate and scalable anomaly detection in network data streams, addressing challenges such as tracking heavy keys in real-time across a vast key space. By combining high accuracy, speed, and low space complexity, LD-Sketch enables efficient heav

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The analysis carried out at the CCF/CTA Calibration Meeting focused on muon detection for ASTRI using simulations and analysis software. Steps included pixel cuts, center and radius determination, image cleaning, radial and intensity profile computation, and reconstruction error evaluation. Results

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Explore the evaluation of single muon efficiency through detailed simulations in the Wire-Cell project. Discover advancements in track merging algorithms and the calculation of tracking efficiency using various variables. Dive into the challenges and progress in muon tracking within detector limitat

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This report provides an overview of the Muon Campus operations, including activities conducted, machine downtime, G-2 performance integrated for Run 4, and upcoming plans. Key highlights include beam delivery to G-2, maintenance work, beamline studies, and the status of experiments. The report also

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