Antiarrhythmic drugs are classified into different classes based on their mechanisms of action. Class I includes sodium channel blockers with specific drugs like procainamide, disopyramide, and quinidine. Class 1B involves lidocaine and mexiletine. Class 1C consists of agents like flecainide. Class

2 views • 19 slides

Linear discrimination is a method for classifying data where examples from one class are separable from others. It involves using linear models or high-order functions like quadratic to map inputs to class separable spaces. This approach can be further categorized as class-based or boundary-based, e

3 views • 37 slides

Significant developments have been made in the multi-link setup within the IEEE 802.11 framework. The focus is on allowing only one STA in the MLD framework, differentiation with STA-level associations, and the rationale behind restricting to one STA. Proposals for defining multi-link devices and re

0 views • 12 slides

A classification key is a tool with questions and answers, resembling a flow chart, to identify or categorize things. It helps in unlocking the identification of objects or living things. Explore examples like the Liquorice Allsorts Challenge and Minibeast Classification Key. Also, learn how to crea

1 views • 6 slides

Fingerprint classification is crucial in establishing a protocol for search, filing, and comparison purposes. It provides an orderly method to transition from general to specific details. Explore the Henry Classification system and the NCIC Classification, and understand why classification is pivota

5 views • 18 slides

Deep Transfer Learning and Multi-task Learning involve transferring knowledge from a source domain to a target domain, benefiting tasks such as image classification, sentiment analysis, and time series prediction. Taxonomies of Transfer Learning categorize approaches like model fine-tuning, multi-ta

1 views • 26 slides

ROC curves are extended to multiclass classification to evaluate the performance of models in scenarios such as binary, multiclass, and multilabel classifications. Different metrics such as True Positive Rate (TPR), False Positive Rate (FPR), macro, weighted, and micro averages are used to analyze t

3 views • 8 slides

IEEE 802.11-20/0772r2 discusses various aspects of multi-link elements in the context of IEEE 802.11 standards. The document covers the need for efficient element ID extension, different multi-link element structures, including authentication algorithms, common controls, and sub-elements organizatio

1 views • 10 slides

Classification is a key form of data analysis that involves building models to categorize data into specific classes. This process, which includes learning and prediction steps, is crucial for tasks like fraud detection, marketing, and medical diagnosis. Classification helps in making informed decis

2 views • 72 slides

WIPO is applying artificial intelligence to enhance text classification in international patent and trademark systems. The projects involve automatic text categorization in the International Patent Classification and Nice classification for trademarks using neural networks. Challenges such as the av

2 views • 10 slides

Explore the basic definitions and key features of Multi-AP operation in the IEEE 802.11 standard. Learn about Multi-AP Candidate Set (M-AP-CS) and Multi-AP Operation Set (M-AP-OS) along with their participants and formation. Delve into the concepts of Coordinator AP, Coordinated AP(s), and reliable

0 views • 19 slides

This contribution discusses the reference model to support multi-link operation in IEEE 802.11be and proposes architecture reference models to support multi-link devices. It covers aspects such as baseline architecture reference models, logical entities in different layers, Multi-Link Device (MLD) f

1 views • 19 slides

An operating system is the crucial program that manages a computer's resources and acts as an interface between the user and the machine. Various types of operating systems exist, including real-time, multi-user vs. single-user, multi-tasking vs. single-tasking, distributed, and embedded systems. Re

1 views • 11 slides

This document from December 2023 discusses medium synchronization recovery leveraging multi-AP coordination for multi-link devices. It covers features such as Multi-link device (MLD), Multi-link operation (MLO), and Ultra High Reliability (UHR) capability defined in P802.11bn for improvements in rat

0 views • 8 slides

Exploring the benefits of Multi-Band Multi-Channel (MBMC) operation in IEEE 802.11be, this study delves into the efficient use of spectrum, increased data rates, and network load balancing. It also discusses the envisioned usage models and compares Single Band Operation with Multi-Band Operation, hi

1 views • 20 slides

Explore the advantages of Multi-Band, Multi-Channel (MBMC) operation in IEEE 802.11be, focusing on efficient spectrum use, increased data rates, and dynamic band switching. Learn about usage models and compare with single-band operations. Discover how MBMC enables concurrent operation across multipl

0 views • 22 slides

Explore the world of taxonomy and scientific classification, from the discipline of classifying organisms to assigning scientific names using binomial nomenclature. Learn the importance of italicizing scientific names, distinguish between species, and understand Linnaeus's system of classification.

0 views • 19 slides

Explore the basics of fingerprint classification, including Henry Classification and NCIC Classification systems. Learn about the importance of classification in establishing protocols for searching and comparison. Discover the components of Henry Classification, such as primary, secondary, sub-seco

1 views • 21 slides

BioStatistics involves the classification of data into groups based on common characteristics, allowing for analysis and inference. Classification organizes data into sequences, while tabulation systematically arranges data for easy comparison and analysis. This process helps simplify complex data,

0 views • 12 slides

Decision tree learning is a fundamental classification method involving a 3-step process: model construction, evaluation, and use. This method uses a flow-chart-like tree structure to classify instances based on attribute tests and outcomes to determine class labels. Various classification methods,

5 views • 20 slides

This content delves into the concept of text classification in information retrieval, focusing on training classifiers to categorize documents into predefined classes. It discusses the formal definitions, training processes, application testing, topic classification, and provides examples of text cl

0 views • 57 slides

This document discusses the implementation and advantages of virtual carrier sense in multi-link networks under the IEEE 802.11 standard. It explores the operation of multi-link setups, asynchronous communication benefits, and the necessity of multiple contention channels. The concept of NAV (Networ

2 views • 11 slides

Scientists use classification to group organisms logically, making it easier to study life's diversity. Taxonomy assigns universally accepted names to organisms using binomial nomenclature. Carolus Linnaeus developed this system, organizing organisms into species, genus, family, order, class, phylum

0 views • 11 slides

The presentation discusses the classification and valuation of mineral and energy resources in national accounts balance sheets, focusing on the alignment between the System of Environmental-Economic Accounting (SEEA) and the System of National Accounts (SNA) frameworks. It highlights the need for a

0 views • 17 slides

The SAMME.C2 algorithm addresses severely imbalanced multi-class classification problems by utilizing boosting techniques such as AdaBoost and cost-sensitive learning. Through numerical experiments and performance statistics, the algorithm shows the trade-off between accurately classifying minority

0 views • 5 slides

This document explores the performance aspects, benefits, and assumptions of multi-link operations in IEEE 802.11-19/1291r0. It discusses the motivation for multi-link operation in new wireless devices, potential throughput gains, classification of multi-link capabilities, and operation modes. The s

0 views • 30 slides

In September 2016, a proposal was introduced to enhance the beamforming training procedures in IEEE 802.11ay for increased efficiency and MIMO support. The proposal suggests a multi-stage, multi-resolution beamforming training framework to improve efficiency in scenarios with high-resolution beams a

0 views • 11 slides

Alessandro Ruggeri presents the collaboration between DUNE-Italia and Nu@FNAL Bologna group on event classification in sand using deep learning. The project involves applying machine learning to digitized STT data for event classification, with a focus on CNNs and processing workflows to extract pri

0 views • 11 slides

This research explores the challenges and solutions in semi-supervised entity classification within incomplete class hierarchies. It addresses issues related to food, animals, vegetables, mammals, reptiles, and fruits, presenting an optimized divide-and-conquer strategy. The goal is to achieve semi-

0 views • 18 slides

Classification in data mining involves assigning objects to predefined classes based on a training dataset with known class memberships. It is a supervised learning task where a model is learned to map attribute sets to class labels for accurate classification of unseen data. The process involves tr

0 views • 26 slides

Explore various linear classification models such as linear regression, logistic regression, and SVM loss. Understand the concept of multi-class classification, including multi-class perceptron and multi-class SVM. Delve into the specifics of the perceptron algorithm and its hinge loss, along with d

0 views • 51 slides

Hutchinson and Takhtajan, as presented by Dr. R. P. Patil, Professor & Head of the Department of Botany at Deogiri College, Aurangabad, have contributed significantly to the field of plant classification. John Hutchinson, a renowned British botanist, introduced a classification system based on princ

0 views • 20 slides

The document discusses the multi-link operation framework for IEEE 802.11-19/0773r0, focusing on load balancing and aggregation use cases. It introduces terminology related to multi-link logical entities and provides examples of multi-link AP and non-AP logical entities. The framework considers stee

0 views • 16 slides

The content covers key information about the EPA's Ozone Advance Program, including the basics of ozone, the Clean Air Act requirements, designation vs. classification, classification deadlines, and marginal classification requirements. It explains the formation of ozone, the importance of reducing

0 views • 40 slides

Exploring the association between multi-morbidity, deprivation, and life expectancy in the context of UK general practice. The research aims to quantify socio-economic inequalities in chronic disease onset and life expectancy, particularly among older populations with multi-morbidity. Methods includ

0 views • 27 slides

The document discusses IEEE 802.11-17/xxxxr0 focusing on multi-link operation for achieving higher throughput. It covers motions adopted in the SFD related to asynchronous multi-link channel access, mechanisms for multi-link operation, and shared sequence number space. Additionally, it explores the

0 views • 14 slides

The DICOM WG21 Multi-Energy Imaging Supplement aims to address the challenges and opportunities in multi-energy imaging technologies, providing a comprehensive overview of imaging techniques, use cases, objectives, and potential clinical applications. The supplement discusses the definition of multi

0 views • 33 slides

This research focuses on developing a multi-class skin lesion segmentation method specifically for Cutaneous T-cell Lymphomas using high-resolution clinical images. The study introduces a new dataset, a novel method called Multi-Knowledge Learning Network (MKLN), and achieves state-of-the-art result

0 views • 15 slides

Dr. E. S. Gopi and Dr. S. Deivalakshmi propose a project at the Indian Institute of Remote Sensing to use Generative Adversarial Networks (GAN) for converting low-resolution hyperspectral images into high-resolution ones and developing a classifier for pixel-wise classification. The aim is to achiev

0 views • 25 slides

In the realm of high-dimensional classification with scarce positive examples, challenges like imbalanced data distribution and limited data availability can hinder traditional classification methods. This study explores innovative strategies such as robust covariances and smoothed kernel distributi

0 views • 10 slides