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OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users
Stay at home order during the COVID-19 helps flatten the curve but ironically, instigate mental health problems among the people who have Substance Use Disorders. Measuring the electrical activity signals in brain using ... -
Integrating Text Embedding with Traditional NLP Features for Clinical Relation Extraction
Recently, text embedding techniques such as Word2Vec and BERT have produced state-of-the-art results in a wide variety of NLP tasks. As a result, traditional NLP features frequently used in Information Extraction (IE) such ... -
Graph-Based Intrusion Detection System for Controller Area Networks
The controller area network (CAN) is the most widely used intra-vehicular communication network in the automotive industry. Because of its simplicity in design, it lacks most of the requirements needed for a security-proven ... -
Neural Fair Collaborative Filtering
A growing proportion of human interactions are digitized on social media platforms and subjected to algorithmic decision-making, and it has become increasingly important to ensure fair treatment from these algorithms. In ... -
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
With the increased attention on thermal imagery for Covid-19 screening, the public sector may believe there are new opportunities to exploit thermal as a modality for computer vision and AI. Thermal physiology research has ... -
Practical Cross-modal Manifold Alignment for Grounded Language
We propose a cross-modality manifold alignment procedure that leverages triplet loss to jointly learn consistent, multi-modal embeddings of language-based concepts of real-world items. Our approach learns these embeddings ... -
Heterogeneous Federated Learning
Federated learning learns from scattered data by fusing collaborative models from local nodes. However, due to chaotic information distribution, the model fusion may suffer from structural misalignment with regard to ... -
A Golden-Gate Based Cloning Toolkit to Build Violacein Pathway Libraries in Yarrowia lipolytica
(ACS Publications, 2021-01-05)Violacein is a naturally occurring anticancer therapeutic compound with deep purple color. In this work, we harnessed the modular and combinatorial feature of a Golden Gate assembly method to construct a library of violacein ... -
Quantum Approximate Optimization for Hard Problems in Linear Algebra
The Quantum Approximate Optimization Algorithm (QAOA) by Farhi et al. is a quantum computational framework for solving quantum or classical optimization tasks. Here, we explore using QAOA for Binary Linear Least Squares ... -
Green-PoW: An Energy-Efficient Blockchain Proof-of-Work Consensus Algorithm
This paper opts to mitigate the energy-inefficiency of the Blockchain Proof-of-Work (PoW) consensus algorithm by rationally repurposing the power spent during the mining process. The original PoW mining scheme is designed ... -
Investigating the evolution of water-soluble organic carbon in evaporating cloud water
(Royal Society of Chemistry, 2020-12-22)Cloud cycling plays a key role in the evolution of atmospheric particles and gases, producing secondary aerosol mass and transforming the optical properties and impacts of aerosols globally. In this study, bulk cloud water ... -
Evolving schema representations in orbitofrontal ensembles during learning
(Nature, 2020-12-23)How do we learn about what to learn about? Specifically, how do the neural elements in our brain generalize what has been learned in one situation to recognize the common structure of—and speed learning in—other, similar ... -
No Silver Bullet: Fighting Russian Disinformation Requires Multiple Actions
(National Cryptologic Museum Foundation, 2020-08) -
COVID-19 Literature Clustering
(2020-04-03) -
Aspect Based Abusive Sentiment Detection in Nepali Social Media Texts
With the increase in internet access and the ease of writing comments in the Nepali language, fine-grained sentiment analysis of social media comments is becoming more and more pertinent. There are a number of benchmarked ... -
Nanocomposites for low dose gamma-ray sensor: Effect of matrix and oxidizer on the performance
(SPIE, 2019-05-14)Synthesis and crystal growth of scintillators and semiconductor materials for radiation detectors have been proven to be time consuming and very costly. Several alternative crystals such as Tl3ASSe3, TlGaSe2, Tl4HgI6, ... -
Gaia Early Data Release 3. Acceleration of the solar system from Gaia astrometry
(European Space Agency, 2020-12-02)Context. Gaia Early Data Release 3 (Gaia EDR3) provides accurate astrometry for about 1.6 million compact (QSO-like) extragalactic sources, 1.2 million of which have the best-quality five-parameter astrometric solutions. ... -
Gaia Early Data Release 3. Summary of the contents and survey properties
(EDP Sciences, 2020-11-03)Context. We present the early installment of the third Gaia data release, Gaia EDR3, consisting of astrometry and photometry for 1.8 billion sources brighter than magnitude 21, complemented with the list of radial velocities ... -
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
(2020-12-05)Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL provide good benchmarks for several tasks ...
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