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Optimization is essential in deep learning. The foundational method upon which most optimizers are built is momentum-based stochastic gradient descent. However, it suffers from two key drawbacks. First, it has noisy and varying gradients,…

Machine Learning · Computer Science 2026-05-22 Saurabh Saini , Kapil Ahuja , Thomas Wick , Saurav Kumar

To deal with the ever increasing data rate demand in wireless systems, suitable backhaul solutions have to be found. One option is to use LOS MIMO systems at mmWave frequencies, as high bandwidths and spectral efficiencies will be able to…

Information Theory · Computer Science 2016-04-13 Tim Hälsig , Berthold Lankl

The frequent breakdowns and malfunctions of industrial equipment have driven increasing interest in utilizing cost-effective and easy-to-deploy sensors, such as microphones, for effective condition monitoring of machinery. Microphones offer…

Band bending is a central concept in solid-state physics that arises from local variations in charge distribution especially near semiconductor interfaces and surfaces. Its precision measurement is vital in a variety of contexts from the…

A novel approach combining agile beam switching with deep learning to enhance the speed and accuracy of Direction of Arrival (DOA) estimation for millimeter-wave (mmWave) phased array systems with low-complexity hardware implementations is…

Signal Processing · Electrical Eng. & Systems 2025-08-19 Arav Sharma , Lei Chi , Ari Gebhardt , Alon S. Levin , Timothy R. Hoerning , Sam Keene

In order to investigate the speed of gravitational signals travelling in air or through a different medium two experiments were designed. One of the experiments contains 2 masses rotating at very high speed and in the other experiment a…

Instrumentation and Detectors · Physics 2022-05-02 Carlos Frajuca , Fabio da Silva Bortoli , Nadja Simão Magalhaes

The perception and recognition of the surroundings is one of the essential tasks for a robot. With preliminary knowledge about a target object, it can perform various manipulation tasks such as rolling motion, palpation, and force control.…

Perception in granular media remains challenging due to unpredictable particle dynamics. To address this challenge, we present SandWorm, a biomimetic screw-actuated robot augmented by peristaltic motion to enhance locomotion, and SWTac, a…

Robotics · Computer Science 2026-01-21 Shoujie Li , Changqing Guo , Junhao Gong , Chenxin Liang , Wenhua Ding , Wenbo Ding

The phase relation between quantum states represents an essential resource for the storage and processing of quantum information. While quantum phases are commonly controlled dynamically by tuning energetic interactions, utilizing geometric…

The progress in neuromorphic computing is fueled by the development of novel nonvolatile memories capable of storing analog information and implementing neural computation efficiently. However, like most other analog circuits, these devices…

Emerging Technologies · Computer Science 2021-07-12 Z. Fahimi , M. R. Mahmoodi , M. Klachko , H. Nili , H. Kim , D. B. Strukov

In many industries, including aerospace and defense, waveform analysis is commonly conducted to compute the resonance of physical objects, with the Finite Element Method (FEM) being the standard approach. The Finite Difference Method (FDM)…

Audio and Speech Processing · Electrical Eng. & Systems 2025-07-09 Juliette Florin

One of the challenges in computational acoustics is the identification of models that can simulate and predict the physical behavior of a system generating an acoustic signal. Whenever such models are used for commercial applications an…

Dynamic state and parameter estimation methods for dynamic security assessment in power systems are becoming increasingly important for system operators. Usually, the data used for this type of applications stems from phasor measurement…

Systems and Control · Electrical Eng. & Systems 2022-09-01 Nicolai Lorenz-Meyer , René Suchantke , Johannes Schiffer

Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the need for effective cardiac monitoring and early warning…

Systems and Control · Electrical Eng. & Systems 2024-11-22 Yongyang Tang , Zhe Chen , Ang Li , Tianyue Zheng , Zheng Lin , Jia Xu , Pin Lv , Zhe Sun , Yue Gao

The millimeter wave (mmWave) frequencies offer the potential for enormous capacity wireless links. However, designing robust communication systems at these frequencies requires that we understand the channel dynamics over both time and…

Signal Processing · Electrical Eng. & Systems 2017-12-18 Christopher Slezak , Aditya Dhananjay , Sundeep Rangan

While vibration is a well-used output signal in HCI as part of haptic interaction, vibration outside HCI is used in many other modes to support human performance, from rehabilitation to cognition. In this late breaking work, we present…

Human-Computer Interaction · Computer Science 2023-04-24 Alexander Dawid Bincalar , M. C. Schraefel , Christopher Freeman

The paper presents an improved mass balancing procedure for fast rotating machinery, while it is being rotated at speeds considerably slower than the "critical speeds", where dangerously high vibration amplitudes may arise. By utilizing…

Applied Physics · Physics 2018-10-16 Amit Dolev , Shachar Tresser , Izhak Bucher

Millimeter wave (mmWave) technology at 28 GHz is vital for beyond-5G systems, but indoor deployment remains challenging due to limited statistical evidence on propagation. This study investigates path loss, material penetration, and…

Signal Processing · Electrical Eng. & Systems 2026-04-03 Ayodeji Bolanle Balogun , Sokipriala Jonah

Most wind turbines are remotely monitored 24/7 to allow for an early detection of operation problems and developing damage. We present a new fault detection method for vibration-monitored drivetrains that does not require any feature…

Machine Learning · Computer Science 2022-06-28 Stefan Jonas , Dimitrios Anagnostos , Bernhard Brodbeck , Angela Meyer

In this paper, a novel proactive computing and mmWave communication for ultra-reliable and low latency wireless virtual reality (VR is proposed. By leveraging information about users' poses, proactive computing and caching are used to…

Information Theory · Computer Science 2018-12-11 Mohammed S. Elbamby , Cristina Perfecto , Mehdi Bennis , Klaus Doppler