A5089312001- Hemodynamic Monitoring and Therapy
- Non-Invasive Vital Sign Monitoring
- Respiratory Support and Mechanisms
- Remote Sensing in Agriculture
- Advanced Vision and Imaging
- Cardiac, Anesthesia and Surgical Outcomes
- Advanced MIMO Systems Optimization
- Traumatic Brain Injury and Neurovascular Disturbances
- Galaxies: Formation, Evolution, Phenomena
- Smart Agriculture and AI
- Artificial Intelligence in Healthcare and Education
- Spectroscopy and Chemometric Analyses
- Advanced Adaptive Filtering Techniques
- Cardiovascular Syncope and Autonomic Disorders
- Blood Pressure and Hypertension Studies
- Cooperative Communication and Network Coding
- Software System Performance and Reliability
- Music and Audio Processing
- Heart Rate Variability and Autonomic Control
- Speech and Audio Processing
- Cardiovascular Health and Disease Prevention
- Sepsis Diagnosis and Treatment
- Analog and Mixed-Signal Circuit Design
- Advanced Image and Video Retrieval Techniques
- Advancements in Semiconductor Devices and Circuit Design
Daffodil International University
2024
University of Arkansas at Fayetteville
2019-2023
Lawrence Berkeley National Laboratory
2021
Bangladesh University of Engineering and Technology
2015
American International University-Bangladesh
2012
Abstract Sky surveys are the largest data generators in astronomy, making automated tools for extracting meaningful scientific information an absolute necessity. We show that, without need labels, self-supervised learning recovers representations of sky survey images that semantically useful a variety tasks. These can be directly used as features, or fine-tuned, to outperform supervised methods trained only on labeled data. apply contrastive framework multiband galaxy photometry from Sloan...
In this paper, an unsupervised Bayesian learning method is proposed to perform rice panicle segmentation with optical images taken by unmanned aerial vehicles (UAV) over paddy fields. Unlike existing supervised methods that require a large amount of labeled training data, the approach detects pixels in UAV analyzing statistical properties image without phase. Under framework, distributions pixel intensities are assumed follow multivariate Gaussian mixture model (GMM), different components...
Due to the increasing number of irregularly spaced base stations (BSs) as well intrinsic random channel environment, modeling and analysis cellular networks using classical hexagonal cell shapes is becoming ever more impractical. Therefore, stochastic geometry models having ability picture near realistic situations gaining a wide acceptability for evaluating network performance. In light this, this paper presents simulation-based investigation on downlink signal-to-interference-noise-ratio...
Industry heavyweights like Microsoft, Amazon, and Google are at the forefront of development provision cutting-edge affordable cloud computing solutions, contributing to widespread recognition computing. Without requiring direct human control, this technology provides network services, including data storage computational power. But security becomes apparent as a major issue, hindering adoption. The present study performs an extensive investigation investigate concerns related several...
This paper presents a novel design of compact multi-valued inverter circuit using Carbon Nanotube Field effect Transistor (CNTFET). All simulations are done by HSPICE model CNTFET. The novelty this is only one all output can be achieved than three different CNTFET circuits or complex band-gap reference to produce each voltage for precise in case CMOS implementation which previously done. Also the same MOSFETs with threshold mask would increase higher process cost. It widely considered that...
A robust and optimized system architecture has been developed designed for adaptive beamformer with a Microphone Array. The includes following subsystems - MMSE STSA Estimator, DOI (Direction of Interest) Estimator an Adaptive Beamformer. implemented tested Xtensa Processor which was configured HiFi-2 DSP Standard audio processing.
Analysis of peripheral venous pressure (PVP) waveforms is a novel method monitoring intravascular volume. Two pediatric cohorts were studied to test the effect anesthetic agents on PVP waveform and cross-talk between veins arteries: (1) dehydration setting in pyloromyotomy using infused propofol (2) hemorrhage during elective surgery for craniosynostosis with inhaled isoflurane. collected from 39 patients that received 9 A multiple analysis variance determined if anesthetics influence...
Artificial intelligence (AI) refers to a machine's capacity for operations typically performed by human intelligence, such as learning, thinking, solving problems, and making decisions. Machine neural networks, expert systems, rule-based systems are all used in artificial intelligence. AI employs methods algorithms process data, draw conclusions from patterns laws, enhance performance over time. A software application or product's intended functionality is evaluated verified through the of...