Browsing SoC Research Publications by Title
Now showing items 17-36 of 49
-
Deep Learning–Based Advances
(Humana Press Inc., 2022-06-14)Posttranslational modification (PTM ) is a ubiquitous phenomenon in both eukaryotes and prokaryotes which gives rise to enormous proteomic diversity. PTM mostly comes in two flavors: covalent modification to polypeptide ... -
DeepNGlypred: A deep neural network-based approach for human N-linked glycosylation site prediction
(MDPI, 2021-12-02)Protein N-linked glycosylation is a post-translational modification that plays an importantrole in a myriad of biological processes. Computational prediction approaches serve as comple-mentary methods for the characterization ... -
Design of short blocklength wiretap channel codes: Deep learning and cryptography working hand in hand
(IEEE, 2021-10-17)We design short blocklength codes for the Gaussian wiretap channel under information-theoretic security guarantees. Our approach consists in decoupling the reliability and secrecy constraints in our code design. Specifically, ... -
Efficient near-optimal t-closeness with low information loss
(IEEE, 2021-09-22)The t-closeness technique is one of the most popular techniques for preserving individual privacy in data. It involves generalizing and suppressing some attributes of a given table, after partitioning the set of all records ... -
An experimental evaluation on deepfake detection using deep face recognition
(IEEE, 2021-10-11)Significant advances in deep learning have obtained hallmark accuracy rates for various computer vision applications. However, advances in deep generative models have also led to the generation of very realistic fake ... -
Federated nearest neighbor classification with a colony of fruit-flies
(AAAI, 2022-06-28)The mathematical formalization of a neurological mechanism in the fruit-fly olfactory circuit as a locality sensitive hash (Flyhash) and bloom filter (FBF) has been recently proposed and "reprogrammed" for various ... -
Function computation without secure links: Information and leakage rates
(IEEE, 2022-06-26)Consider L users, who each holds private data, and one fusion center who must compute a function of the private data of the L users. To accomplish this task, each user can make a single use of a public and noiseless broadcast ... -
Harnessing unlabeled data to improve generalization of biometric gender and age classifiers
(IEEE, 2021-12-05)With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled data for model training and optimum parameter ... -
Holographic augmented reality visualization interface for exploration
(Wichita State University, 2022-04-29)Based on Wichita's wheat harvesting nickname, Harvesters, Wichita State University NASA SUITS (Spacesuit User Interface Technologies for Students) team Harvestars proposed the integrated system H. A. R. V. I. E. (Holographic ... -
Integration of instance-based learning and computed torque control for an effective assist-as-needed support in human-exoskeleton interaction
(Association for Industry, Engineering and Management Systems (AIEMS), 2022-12)The physiological responses that arise from human-robot interaction may vary across subjects in magnitude and rate. Such individual variations may require instance-based learning over model-based learning algorithms. For ... -
Investigating fairness of ocular biometrics among young, middle-aged, and older adults
(IEEE, 2021-10-11)A number of studies suggest bias of the face biometrics, i.e., face recognition and soft-biometric estimation methods, across gender, race, and age-groups. There is a recent urge to investigate the bias of different biometric ... -
An IoT-based framework for an optimal monitoring and control of cyber-physical systems: Application on Biogas Production system
(ACM, 2022-03-08)Among the possible conversion processes for biomass is Anaerobic Digestion (AD) that produces a valuable energy known as biogas. However, the instability of biogas production is challenging due to the complex process of ... -
Is Facial Recognition Biased at Near-Infrared Spectrum as Well?
(IEEE, 2022-11-15)Published academic research and media articles suggest face recognition is biased across demographics. Specifically, unequal performance is obtained for women, dark-skinned people, and older adults. However, these published ... -
Learning task-oriented dexterous grasping from human knowledge
(IEEE, 2021-05-30)Industrial automation requires robot dexterity to automate many processes such as product assembling, packaging, and material handling. The existing robotic systems lack the capability to determining proper grasp strategies ... -
Monocular visual-inertial and robotic-arm calibration in a unifying framework
(IEEE, 2021-10-20)Reliable and accurate calibration for camera, inertial measurement unit (IMU) and robot is a critical prerequisite for visual-inertial based robot pose estimation and surrounding environment perception. However, traditional ... -
Multimodal combination of text and image tweets for disaster response assessment
(CEUR-WS, 2022-07-06)Social media platforms are a vital source of information in times of natural and man-made disasters. People use social media to report updates about injured or dead people, infrastructure damage, missing or found people ... -
Multispectral deep learning models for wildfire detection
(CEUR-WS, 2022-07-06)Aided by wind, all it takes is one ember and few minutes to create wildfire. Wildfires are growing in frequency and size due to climate change. Wildfires and its consequences are one of the major environmental concerns. ... -
On improving cross-dataset generalization of deepfake detectors
(IEEE, 2022-06-19)Facial manipulation by deep fake has caused major security risks and raised severe societal concerns. As a countermeasure, a number of deep fake detection methods have been proposed recently. Most of them model deep fake ... -
On the application of accessible wayfinding systems for tourism
(IEEE, 2022-09-23)Tourism is characterized by people searching for valuable information in unfamiliar surroundings. Recent advances in indoor and outdoor wayfinding systems that complement satellite-based systems provide many opportunities ... -
Privacy-preserving online mirror descent for federated learning with single-sided trust
(IEEE, 2021-12-05)This paper discusses how clients in a federated learning system can collaborate with privacy guarantee in a fully decentralized setting without a central server. Most existing work includes a central server that aggregates ...