Privacy in Retrieval, Computing, and Learning

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Recent advances in machine learning have dramatically increased model size and computational requirements, increasingly straining computing system capabilities. This tension is particularly acute for resource-constrained edge scenarios, for which careful h ...

The Internet of Things (IoT) consists of physical objects and devices embedded with network connectivity, software, and sensors to collect and transmit data. The development of the Internet of Things (IoT) has led to various security and privacy issues, in ...

Quantum computing is expected to complement classical von-Neumann architectures in solving problems beyond the reach of conventional digital machines. This new model of computation leverages the rich complexity of many-body quantum systems to perform compu ...

A framework to engineer existing structures, in particular bridges, and novel engineering methods and technologies are presented to extend the service duration of existing bridges while meeting the requirements of modern use. Accurate determination of brid ...

In this work, we propose an analytical model for the intrinsic transcapacitances in ultra-thin gate-all-around junctionless nanowire field effect transistors in the presence of confined energy states of electrons. The validity of the developed model is con ...

This work presents the study of suspended Y-cut Lithium Niobate shear bulk acoustic resonators for wide band filter applications in the frequency range of 3.5-4.5GHz. The resonators consist of a Lithium Niobate film with Aluminum top interdigitated electro ...

We consider the problem of compressing an information source when a correlated one is available as side information only at the decoder side, which is a special case of the distributed source coding problem in information theory. In particular, we consider ...

Current procedures for the rapid inspection of buildings and infrastructure are subjective, time-consuming, and cumbersome to document, necessitating new technologies to automate the process and eliminate these shortcomings. Fortunately, recent development ...

This work deals with a control strategy to regulate homogeneous reaction systems in reactors equipped with a cooling jacket. The reaction system is expressed in terms of vessel extents and viewed as a single-input (the inlet coolant temperature), two-outpu ...

Over the past two decades, the thermo-hydro-mechanical behavior of earth-contact structures such as piles, walls, slabs, and tunnels, which simultaneously provide structural support and energy supply, has been studied through various field experiments and ...

A programmable patient-customized epileptic seizure detector is proposed in this paper to enable neurologists and patients to have constructive interactions with the implantable medical device. The programmability feature is enabled by designing a low-powe ...

Stable and uniform beams with low divergence are required in particle accelerators; therefore, beyond the accelerated current, measuring the beam current spatial uniformity and stability over time is necessary to assess the beam performance, since these pa ...

Hyperdimensional (HD) computing is a novel approach to machine learning inspired by neuroscience, which uses vectors in a hyper-dimensional space to represent data and models. This approach has gained significant interest in recent years with applications ...

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...

Stimulated by the COVID-19 outbreak, the global healthcare industry better acknowledges the necessity of innovating novel methods for remote healthcare monitoring and treating patients outside clinics. Here we report the development of two different types ...

This paper defines a Maximum Likelihood Estimator (MLE) for the admittance matrix estimation of distribution grids, utilising voltage magnitude and power measurements collected only from common, unsychronised measuring devices (Smart Meters). First, we pre ...

Privacy in Retrieval, Computing, and Learning

Chattez avec Graph Search

Keep All in Memory with Maxwell: a Near-SRAM Computing Architecture for Edge AI Applications

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

Electron Spin Qubit Architectures on Fully Depleted Silicon-On-Insulator Substrates for Scalable Quantum Computing

Framework to engineer existing bridges for sustainability, validated by applications

Transcapacitances Modeling in ultra-thin gate-all-around junctionless nanowire FETs, including 2D quantum confinement

High Resolution Light-Based 3D Printing Of Cell-Laden Bio Constructs

Toward Band n78 Shear Bulk Acoustic Resonators Using Crystalline Y-Cut Lithium Niobate Films With Spurious Suppression

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Damage-augmented digital twins towards the automated inspection of buildings

Output regulation via trajectory tracking for chemical reactors with jacket dynamics

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

Programmable Seizure Detector Using a 32-bit RISC Processor for Implantable Medical Devices

Design and Development of a Diagnostic System for a Non-Intercepting Direct Measure of the SPIDER Ion Source Beamlet Current

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Single-arm diagnostic electrocardiography with printed graphene on wearable textiles

Maximum likelihood estimation of distribution grid topology and parameters from Smart Meter data