The Multimat-2 experiment conducted by Jorge Guardia Valenzuela and the team at CERN focused on testing prototypes of HL-LHC collimators, including materials and coatings, to improve the robustness and performance under extreme conditions. The goals included deriving strength models, exploring failu

0 views • 13 slides

This content delves into the importance of robust estimation in dealing with outliers in data analysis. It covers topics such as moving averages, the impact of outliers, reasons for outlier occurrence, and the robustness of median compared to mean calculations. Additionally, it explores moving media

1 views • 34 slides

Instance-specific explanations of model predictions through input gradients are explored in this study. The key contributions include a novel evaluation framework, DiffROAR, to assess the impact of input gradient magnitudes on predictions. The study challenges Assumption (A) and delves into feature

0 views • 32 slides

The research introduces a novel knowledge distillation (KD) method for transitioning from non-streaming to streaming ASR encoders by incorporating auxiliary non-streaming layers and a special KD loss function. This approach enhances feature extraction, improves robustness to frame misalignment, and

0 views • 34 slides

This study focuses on assuring the reliability of deep neural network architectures against numerical defects, highlighting the importance of addressing issues that lead to unreliable outputs such as NaN or inf. The research emphasizes the widespread and disastrous consequences of numerical defects

0 views • 26 slides

Pallet racking systems are the undoubted champions of warehouse efficiency, offering indispensable storage solutions that maximize available space and boost workflow efficiency. Despite their robustness and critical role in seamless operations, these systems are not indestructible.\n\n\/\/seeracking

1 views • 4 slides

The University of Bath is aligning with key principles to maintain assessment robustness and prepare students for the future workplace. Guidelines include AI literacy, ethical use, and collaboration. Clarification on GenAI use categories and academic integrity is provided, stressing the importance o

0 views • 6 slides

With professional wood floor installation from blackhawkfloors.com, you may completely change your area. Discover the elegance and robustness of our superior goods.

1 views • 1 slides

Java is a cornerstone of modern software development, known for its versatility and robustness. However, to maximize your career potential and stay competitive in today\u2019s tech industry, it\u2019s beneficial to complement your Java skills with ad

1 views • 1 slides

Java stands as a cornerstone in the realm of programming languages, revered for its versatility and robustness. Enrolling in a Java Course in Pune significantly enhances one\u2019s ability to leverage Java\u2019s capabilities effectively. Understandi

1 views • 1 slides

Cutting-edge research in the field of reinforcement learning for autonomous robots, focusing on Proximal Policy Optimization Algorithms, motivation for autonomous learning, scalability challenges, and policy gradient methods. The discussion delves into Markov Decision Processes, Actor-Critic Algorit

6 views • 26 slides

IEEE 802.11-20/1107r0 discusses the introduction of a new 11-bit scrambler in 11be to reduce payload PAPR. The document addresses issues related to the scrambler seed for CTS in response to MU-RTS transmissions, including the generation of PPDU synchronous scramblers, bit modulation in CTS and MU-RT

0 views • 7 slides

Transform your floors with Spenza Ceramics Tiles! Explore our diverse collection featuring sleek modern designs and durable classics. Whether you seek elegance or robustness, find the perfect tiles to elevate your space with style and quality. Discov

4 views • 7 slides

The document presents the proposed LPI PPDU format for IEEE 802.11-20/1347r1, focusing on enhancing the robustness of the preamble and payload in non-OFDMA frames. The format includes repetitions of U-SIG and E-SIG symbols, optimizing DCM gain for improved performance. Simulation results show advant

0 views • 12 slides

Role of RCI laboratory, analyser requirements, validation process, installation verification, and PQ testing for Ortho Vision system. The RCI laboratory plays a crucial role in various testing processes including blood grouping, antibody ID, and compatibility testing. Validation process includes URS

0 views • 17 slides

This content delves into the risks associated with artificial intelligence, categorizing them into short-term accident risks and long-term accident risks. Short-term risks include issues like robustness problems and interruptibility, while long-term risks focus on competence and alignment challenges

0 views • 15 slides

Introduction to a study focusing on Decision Tree Learning in the context of missing data, proposing Expected Information Gain to enhance robustness. The study explores background concepts, related work, and evaluates the approach using various datasets and strategies. STAIRS 2020 presentation provi

0 views • 14 slides

An overview of a novel structured laser beam (SLB) system designed for long-distance propagation with low divergence and a small central spot size. This cost-effective method allows for easy adjustment of beam parameters and offers advantages such as self-reconstruction after obstacles, compact spot

0 views • 9 slides

This review delves into the Clash9 framework designed by John Ousterhout, covering key aspects such as classes, main functions, ClashParser, Executor, SubstrParser, and more. The framework involves parsing commands, executing built-in commands, managing variables, configuring pipelines, and handling

0 views • 21 slides

Contribution on unintentional beamforming in IEEE 802.11-19/2032r4 addressing potential problems and solutions for secure ranging, involving issues with signal interference and power diminishing. Discussions include the impact on received power and robustness enhancements for signal transmission.

2 views • 10 slides

This document discusses the implementation of multi-band discovery assistance for IEEE 802.11ay networks to improve robustness and reduce latency in consumer devices. It focuses on reducing overhead latency, enabling TDD channel access, and utilizing multi-band signaling for various network operatio

0 views • 10 slides

MicroTester is a validated method for rapid microbiological testing of various types of water such as mineral water and carbonated water. Real-time monitoring of microbial properties in water production is crucial for ensuring safety and quality. The energy for microbial growth comes from biological

0 views • 27 slides

Adversarial attacks in machine learning aim to investigate the robustness and fault tolerance of models, introduced by Aleksander Madry in ICML 2018. This defensive topic contrasts with offensive adversarial examples, which seek to misclassify ML models. Techniques like Deep-Fool are recognized for

0 views • 29 slides

Adversarial Machine Learning (AML) involves attacks on machine learning models by manipulating input data to deceive the model into making incorrect predictions. This includes creating adversarial examples, understanding attack algorithms, distance metrics, and optimization problems like L-BFGS. Var

0 views • 88 slides

The calibration and alignment scenarios for ILD/ILC presented at the meeting in Oshu City focus on the initial requirements for tracking, alignment precision, track-based alignment, track samples, vertex detector alignment, and Si tracker alignment techniques. The detailed specifications include lig

2 views • 9 slides

Explore insights from the THG International Conference on Software Engineering and Knowledge Engineering, focusing on performance metrics in E-Commerce. Dr. Rehman Arshad presents findings on response time, scalability, and system robustness, showcasing THG's advanced technological solutions for opt

0 views • 13 slides

Explore the intricate relationship between food, energy, water, and climate change through the CLEWS modelling approach. Discover how greenhouse gas emissions, sector-wise contributions, and implications on agriculture and energy infrastructure. Gain insights into assessing policy robustness to clim

0 views • 24 slides

Explore the vulnerability of machine learning models to adversarial examples, including speculative explanations and the importance of linear behavior. Learn about fast gradient sign methods, adversarial training of deep networks, and overcoming vulnerabilities. Discover how linear perturbations imp

0 views • 37 slides

Delve into the intricate world of developmental systems and robustness with insights from Paul E. Griffiths. Discover the evolution of developmental processes, the significance of epigenetics, and the interplay between genotypes and phenotypes. Gain a deeper understanding of epigenetic inheritance a

0 views • 17 slides

Explore the potential of TLA+ in building hyper-scale IoT services, gaining insights, taking actions, and addressing exponential growth challenges. Learn about IoT examples, model checking in the product lifecycle, design costs, and project scope coverage. Discover how TLA+ can enhance project effic

0 views • 28 slides

The document outlines robustness requirements for electricity generation facilities, covering fault-ride-through properties, clear time and voltage parameters for different types of generation facilities connected to both the distribution grid and transmission grid. Specific requirements for synchro

0 views • 8 slides

The study explores the requirements of load following by nuclear power plants in the context of variable renewable energies' growth. It discusses the impact of renewable energy development on nuclear economic models and the need for dispatchable capacities. Benchmarks are set to test robustness of d

0 views • 11 slides

The CMS AR 2020 review highlights recommendations for achieving luminosity precision goals, emphasizing the breakdown of components, uncertainty budget allocation, and statistical error optimization. It stresses the importance of distinguishing between offline diagnostics and operational requirement

0 views • 11 slides

Exploring the Polynomial Method in the context of Strong List Coloring, Group Connectivity, and Algebraic tools. This method involves proper coloring of graphs based on polynomial assignments, highlighting the significance of Strong Choosability and the Co-graphic case. The applications and proofs a

0 views • 34 slides

This research paper discusses trust-based anonymous communication models and routing algorithms in the context of onion routing, emphasizing the importance of trust in mitigating security risks from adversaries with resources. The paper presents a model of trust and proposes trust-based routing algo

0 views • 65 slides

In the study of biscalar fishnet models, various operators and spectra were explored, leading to findings on exact correlation functions, strong coupling regimes, Regge limits, and more in arbitrary dimensions. The investigation delves into Lagrangian formulations, graph-building operators, conforma

0 views • 15 slides

Pretrained large-scale vision-language models like CLIP show strong generalization on unseen tasks but are vulnerable to imperceptible adversarial perturbations. This work delves into adapting these models for zero-shot transferability in adversarial robustness, even without specific training on unk

0 views • 18 slides

This paper introduces PROBE, a Probabilistically Robust Recourse framework allowing users to balance cost and robustness in algorithmic recourse. Users can choose the recourse invalidation rate, enabling more tailored and efficient recourse management compared to existing methods. PROBE enhances cos

0 views • 17 slides

Exploring the robustness of linear sketches in handling adaptive inputs in big data scenarios. The study covers applications like compressed sensing, data streams, and distributed computation. It delves into the challenges posed by adaptive inputs and the implications for correctness and efficiency

0 views • 27 slides

In this evaluation, we assess the performance of two onboard intelligence systems - DeepASL and SparseSep. DeepASL is evaluated for performance, time efficiency, memory usage, energy consumption, and user experience, with a focus on accuracy and robustness. SparseSep is analyzed for its performance

0 views • 16 slides