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Human Activity Recognition (HAR) using wearable and mobile sensors has gained momentum in last few years, in various fields, such as, healthcare, surveillance, education, entertainment. Nowadays, Edge Computing has emerged to reduce…

Signal Processing · Electrical Eng. & Systems 2019-10-01 Preeti Agarwal , Mansaf Alam

We study nonparametric maximum likelihood estimation of probability densities under a total variation (TV) type penalty, sectional variation norm (also named as Hardy-Krause variation). TV regularization has a long history in regression and…

Statistics Theory · Mathematics 2026-02-19 Yilong Hou , Zhengpu Zhao , Yi Li , Mark van der Laan

This paper presents the Hybrid Overestimating Approximate Adder designed to enhance the performance in processing engines, specifically focused on edge AI applications. A novel Plus One Adder design is proposed as an incremental adder in…

Hardware Architecture · Computer Science 2025-01-13 Omkar Kokane , Prabhat Sati , Mukul Lokhande , Santosh Kumar Vishvakarma

The recently proposed two families of strongly intensive measures of fluctuations and correlations are studied within Hadron-String-Dynamics (HSD) transport approach to nucleus-nucleus collisions. We consider the measures $\Delta^{K\pi}$…

Nuclear Theory · Physics 2015-06-05 V. V. Begun , V. P. Konchakovski , M. I. Gorenstein , E. L. Bratkovskaya

The nuclear suppression of high transverse momentum P_T hadrons is one of the most striking findings in heavy-ion collision experiments. It has long been recognized that the suppression can be theoretically described by folding the primary…

High Energy Physics - Phenomenology · Physics 2008-11-26 Thorsten Renk

This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises…

Computer Vision and Pattern Recognition · Computer Science 2016-09-01 Paritosh Parmar , Brendan Tran Morris

Stochastic Gradient Descent has been widely studied with classification accuracy as a performance measure. However, these stochastic algorithms cannot be directly used when non-decomposable pairwise performance measures are used such as…

Machine Learning · Statistics 2020-12-07 Soham Dan , Dushyant Sahoo

Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets. The most popular metrics used to compare performances are…

Machine Learning · Computer Science 2021-07-01 Damien Fourure , Muhammad Usama Javaid , Nicolas Posocco , Simon Tihon

Because the decathlon tests many facets of athleticism, including sprinting, throwing, jumping, and endurance, many consider it to be the ultimate test of athletic ability. On this view, estimating the maximal decathlon score and…

Applications · Statistics 2026-05-06 Paul-Hieu V. Nguyen , James M. Smoliga , Benton Lindaman , Sameer K. Deshpande

Given the limitations of using the Cox hazard ratio to summarize the magnitude of the treatment effect, alternative measures that do not have these limitations are gaining attention. One of the recently proposed alternative methods uses the…

Methodology · Statistics 2024-04-02 Zihan Qian , Lu Tian , Miki Horiguchi , Hajime Uno

Audio event classification has recently emerged as a promising approach in medical applications. In total hip arthroplasty (THA), intra-operative hammering acoustics provide critical cues for assessing the initial stability of the femoral…

Audio and Speech Processing · Electrical Eng. & Systems 2025-12-04 Dongqi Zhu , Zhuwen Xu , Youyuan Chen , Minghao Jin , Wan Zheng , Yi Zhou , Huiwu Li , Yongyun Chang , Feng Hong , Zanjing Zhai

The HARP experiment was designed to study hadron production in proton- nucleus collisions in the energy range of 1.5 GeV/c-15 GeV/c. The experiment was made of two spectrometers, a forward dipole spectrometer and a large-angle solenoid…

Hip fractures are a leading cause of death and disability among older adults. Hip fractures are also the most commonly missed diagnosis on pelvic radiographs. Computer-Aided Diagnosis (CAD) algorithms have shown promise for helping…

Hypertension (HPT) refers to a condition where the pressure exerted on the walls of arteries by blood pumped from the heart to the body reaches levels that can lead to various ailments. Annually, a significant number of lives are lost…

Signal Processing · Electrical Eng. & Systems 2023-11-08 Yunus Emre Erdoğan , Ali Narin , Walid Hariri

Numerical simulations have been extensively used in the past two decades for the study of intracranial aneurysms (IAs), a dangerous disease that occurs in the arteries that reach the brain. They may affect up to 10 % of the world's…

Fluid Dynamics · Physics 2022-10-12 Iago Oliveira , Philip Cardiff , Carlos E. Baccin , José Gasche

With the development of measurement technology, data on the movements of actual games in various sports can be obtained and used for planning and evaluating the tactics and strategy. Defense in team sports is generally difficult to be…

Artificial Intelligence · Computer Science 2022-05-10 Kosuke Toda , Masakiyo Teranishi , Keisuke Kushiro , Keisuke Fujii

Objective: Acute mountain sickness (AMS) is the most prevalent altitude illness, affecting unacclimatized individuals ascending above 2,500 m and potentially escalating to life threatening cerebral or pulmonary edema. Conventional machine…

Symbolic Computation · Computer Science 2026-05-19 Abu Masum , Mehran Moghadam , M. Hassan Najafi , Bige Unluturk , Ulkuhan Guler , Beth A. Beidleman , Sercan Aygun

A model-independent search for deviations from the Standard Model prediction is performed in $e^+ p$ and $e^- p$ collisions at HERA II using all high energy data recorded by the H1 experiment. This corresponds to a total integrated…

High Energy Physics - Experiment · Physics 2007-07-28 E. Sauvan

Evaluating the overall ability of players in the National Hockey League (NHL) is a difficult task. Existing methods such as the famous "plus/minus" statistic have many shortcomings. Standard linear regression methods work well when player…

Applications · Statistics 2013-03-01 A. C. Thomas , Samuel L. Ventura , Shane Jensen , Stephen Ma

The hadron ratios measured in central Au-Au collisions are analysed by means of Hadron Resonance Gas (HRG) model over a wide range of nucleon-nucleon center-of-mass energies ranging from 7.7 to 200 GeV as offered by the STAR Beam Energy…

Nuclear Theory · Physics 2013-12-02 A. Tawfik , E. Abbas