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Antibiotic responsibility and agricultural publics: diverse stakeholder perceptions of antibiotic use in animal agriculture
(Springer Nature, 2023-05-01)This paper examines diverse perspectives around the concept of responsibility concerning antibiotic use in animal agriculture. Antibiotic use in agriculture has been identified as a source of antimicrobial resistance, one ... -
Computational Humor: A Survey of the Literature
(2023)Humor, a quintessentially human experience, is one that finds itself at the intersection of psychology, linguistics, philosophy, and computation. Thus, it finds itself in a very unique place in the world of computer ... -
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data
(2023-04-27)Clustering high-dimensional spatiotemporal data using an unsupervised approach is a challenging problem for many data-driven applications. Existing state-of-the-art methods for unsupervised clustering use different similarity ... -
TinyM²Net-V2: A Compact Low Power Software Hardware Architecture for Multimodal Deep Neural Networks
(ACM, 2023-05-03)With the evaluation of Artificial Intelligence (AI), there has been a resurgence of interest in how to use AI algorithms on low-power embedded systems to broaden potential use cases of the Internet of Things (IoT). To mimic ... -
Plasma neurofilament light and brain volumetric outcomes among middle-aged urban adults
(Elsevier, 2023-05-02)Elevated plasma neurofilament light chain (NfL) is associated with dementia, though underlying mechanisms remain unknown. We examined cross-sectional relationships of time-dependent plasma NfL with selected brain structural ... -
Machine Learning Security as a Source of Unfairness in Human-Robot Interaction
(2023)Machine learning models that sense human speech, body placement, and other key features are commonplace in human-robot interaction. However, the deployment of such models in themselves is not without risk. Research in ... -
A Systematic Study on Object Recognition Using Millimeter-wave Radar
(2023-05-03)Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have integrated such capabilities. Industry-grade ... -
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
(2023-05-03)With the increasing number and sophistication of malware attacks, malware detection systems based on machine learning (ML) grow in importance. At the same time, many popular ML models used in malware classification are ... -
Adaptive Nonlinear Control of a Bicopter with Unknown Dynamics
(2023-05-05)This paper presents an adaptive input-output linearization controller with a finite-time convergent parameter estimator for the multicopter trajectory following problem. The controller is constructed by augmenting ... -
RARES: Runtime Attack Resilient Embedded System Design Using Verified Proof-of-Execution
(2023-05-05)Modern society is getting accustomed to the Internet of Things (IoT) and Cyber-Physical Systems (CPS) for a variety of applications that involves security-critical user data and information transfers. In the lower end of ... -
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems
(2023-05-05)Gathering knowledge about surroundings and generating situational awareness for IoT devices is of utmost importance for systems developed for smart urban and uncontested environments. For example, a large-area surveillance ... -
ChatGPT and the Future of Health Policy Analysis: Potential and Pitfalls of Using ChatGPT in Policymaking
(Springer Nature, 2023-04-15)Scholars increasingly rely on new artificial intelligence models for convenience and simple access to necessities due to the rapid evolution of scientific literature and technology. The invention of ChatGPT by OpenAI stands ... -
A Comprehensive Study of Gradient Inversion Attacks in Federated Learning and Baseline Defense Strategies
(IEEE, 2023-04-10)With a greater emphasis on data confidentiality and legislation, collaborative machine learning algorithms are being developed to protect sensitive private data. Federated learning (FL) is the most popular of these methods, ... -
Influence of Cr-substitution on the structural, magnetic, electron transport, and mechanical properties of Fe₃₋ₓCrₓGe Heusler alloys
(Elsevier, 2021-03-01)We performed combined experimental and theoretical studies of the effect of Cr substitution for Fe on the structural, magnetic, transport, electronic, and mechanical properties of Fe₃₋ₓCrₓGe (0⩽x⩽1) intermetallic alloys. ... -
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data
(IEEE, 2023-05-05)Identification of subgroups of subjects homogeneous functional networks is a key step for precision medicine. Independent vector analysis (IVA) is shown to be effective for this task, however, it has a substantial computing ... -
Independent vector analysis with multivariate Gaussian model: A scalable method by multilinear regression
(IEEE, 2023-05-05)Joint blind source separation (JBSS) is a powerful tool for analyzing multiple linked datasets, distinguished by the key ability to exploit cross-dataset dependencies. Despite this ability generally improving overall ... -
Exploring High-Level Neural Networks Architectures for Efficient Spiking Neural Networks Implementation
(IEEE, 2023-03-21)The microprocessor industry faces several challenges: total power consumption, processor speed, and increasing chip cost. It is visible that the processor speed in the last decade has not improved and saturated around 2 ... -
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey
(2023-04-25)Virtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 million Emergency Room (ER) visits annually. ... -
Anonymous Lightweight Authenticated Key Agreement Protocol for Fog-Assisted Healthcare IoT System
(IEEE, 2023-04-25)The impact of fog-assisted Healthcare IoT (H-IoT) system is immense. The smart H-IoT equipments can upload healthcare information to fog nodes with low latency and high mobility. To facilitate secure interactions among ... -
Sparse Private LASSO Logistic Regression
(2023-04-24)LASSO regularized logistic regression is particularly useful for its built-in feature selection, allowing coefficients to be removed from deployment and producing sparse solutions. Differentially private versions of LASSO ...
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