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M. W. Shaver, Cat Bi, Haiphong

Kirkpatrick, E.C. (2008-10-30)

Machine Learning Approaches to Unravelling the Role of Mammalian DNA Methylation in Gene Regulation

Pavlovic, Milos (2017-12)

Transcriptional regulation is a highly complicated and dynamic process established by regulatory pathways involving cascades, feedbacks and other sophisticated control mechanisms. Epigenetic mechanisms are key regulatory ...

Machine Learning Based Cross-Language Vulnerability Detection : How Far Are We

Chauhan, Anki (2020-05)

This thesis concerns the study of Machine Learning based methods for detecting vulnerable code. Various Neural Network models have been trained to detect specific vulnerabilities on a programming language dataset. This ...

Machine Learning Based Energy Management System for Improvement of Critical Reliability

Maharjan, Lizon (2019-05)

Current power distribution system faces challenges that originate from aging infrastructure, DER integration, and frequent natural disasters. At the same time, the contingencies are one of the leading causes of economic ...

Machine Learning Solutions for Emotional Speech: Exploiting the Information of Individual Annotations

Lotfian, Reza (2018-05)

Speech emotion recognition solutions designed under controlled conditions do not translate well into real-life applications. The first step to address this issue is developing a large, natural emotional database. Current ...

Machine Learning Techniques for Automated Detection of Cardiac Arrhythmias

Kalidas, Vignesh (2020-06-03)

Cardiac Arrhythmias are cardiac abnormalities that arise as a consequence of irregularities in the electrical conduction system of the heart. In this dissertation, a comprehensive set of machine learning techniques, ...

Machine Learning-Based Renewable and Load Forecasting in Power and Energy Systems

Feng, Cong; 0000-0003-2866-0716 (2020-08)

In the past decades, the power electricity industry has undergone tremendous evolution, which ends up with the development and establishment of electricity markets. This transformation breaks up generation services into ...

Machine Learning-Based Techniques for Forecasting Emergency Department Peak Load Due to Respiratory Diseases Patients

Khatri, Krishan Lal (2017-08)

Chronic Respiratory diseases, mainly asthma and Chronic Obstructive Pulmonary Disease (COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding of hospital emergency departments (EDs) ...

Machine Learning-Empowered Smart Health Wearables for Long-Term High-Resolution Heart Rate and Blood Pressure Tracking

Zhang, Qingxue (2017-05)

Wearable computers are paving a promising way for ubiquitous smart health applications. Longterm high-resolution heart rate and blood pressure tracking is highly significant not only for medical purposes such as heart ...

Machine-Learning-Based Parallel Genetic Algorithms for Multi-Objective Optimization in Ultra-Reliable Low-Latency WSNs

Chang, Yuchao; Yuan, Xiaobing; Li, Baoqing; Niyato, Dusit; Al-Dhahir, Naofal (Institute of Electrical Electronics Engineers Inc, 2018-12-10)

Different from conventional wireless sensor networks (WSNs), ultra-reliable and low-latency WSNs (uRLLWSNs), being an important application of 5G networks, must meet more stringent performance requirements. In this paper, ...

MAGIC: Mobile Auxiliary Gateways Improve Connectivity of wireless sensor networks

Fumagalli, Andrea; Maloberti, F. (Franco); Nosratinia, A.; Panahi, I. M.; Saquib, M.; Tacca, Marco, 1973- (The University of Texas at Dallas, 2013-06-18)

Magnetic Nanopantograph in the SrCu₂(BO₃)₂ Shastry-Sutherland Lattice

Radtke, Guillaume; Saúl, Andrés; Dabkowska, Hanna A.; Salamon, Myron B.; Jaime, Marcelo (National Academy of Sciences, 2015-02-02)

Magnetic materials having competing, i.e., frustrated, interactions can display magnetism prolific in intricate structures, discrete jumps, plateaus, and exotic spin states with increasing applied magnetic fields. When the ...

Magnetic Torsional Actuation of Carbon Nanotube Yarn Artificial Muscle

Lee, D. W.; Kim, S. H.; Kozlov, Mikhail E.; Lepró, Xavier; Baughman, Ray H.; Kim, S. J.

Magnetically driven torsional actuation of a multiwalled carbon nanotube (MWNT) yarn was realized by first biscrolling NdFeB magnetic particles into helical yarn corridors to make a magnetic MWNT yarn. The actuating device ...

Magnetic, Thermodynamic, and Electrical Transport Properties of the Noncentrosymmetric B20 Germanides MnGe and CoGe

Ditusa, J. F.; Zhang, S. B.; Yamaura, K.; Xiong, Y.; Prestigiacomo, J. C.; Fulfer, B. W.; Adams, P. W.; Brickson, M. I.; Browne, D. A.; Capan, C.; Fisk, Z.; Chan, Julia Y. (American Physical Society, 2014-10-03)

We present magnetization, specific heat, resistivity, and Hall effect measurements on the cubic B20 phase of MnGe and CoGe and compare to measurements of isostructural FeGe and electronic-structure calculations. In MnGe, ...

Magnetostratigraphy of the Chinle and Moenkopi Strata Cored at Colorado Plateau Coring Project Site 1A, Northern Petrified Forest National Park

Buhedma, Hesham M. A. (2017-05)

The Triassic Period (ca. 251.9-201.3 Ma) is bounded by two of Earth’s largest mass extinctions, suffered several giant bolide impacts and eruption of three large igneous provinces, and witnessed evolution of the main ...