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Articles 22651 - 22680 of 713700
Full-Text Articles in Entire DC Network
Ie 439: Deterministic Mod In Oper Resr, Sections 101, Hm1, Bo Shen
Ie 439: Deterministic Mod In Oper Resr, Sections 101, Hm1, Bo Shen
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 355: Human Factors In Industrial Engineering, Section 101, Prakash Kothari
Ie 355: Human Factors In Industrial Engineering, Section 101, Prakash Kothari
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 203: Computer Graphics In Ie, Section 001, Paul Ranky
Ie 203: Computer Graphics In Ie, Section 001, Paul Ranky
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 455: Robotics & Prog Logic Control, Section 003, Evans Aristilde
Ie 455: Robotics & Prog Logic Control, Section 003, Evans Aristilde
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 335: Engr Cost Anal & Control, Section 451, Dielanda Dumay
Ie 335: Engr Cost Anal & Control, Section 451, Dielanda Dumay
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 461: Product Quality Assurance, Section 101, George Abdou
Ie 461: Product Quality Assurance, Section 101, George Abdou
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 492: Engineering Management, Section 457, George Abdou
Ie 492: Engineering Management, Section 457, George Abdou
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 492: Engineering Management, Section 451, Paul Ranky
Ie 492: Engineering Management, Section 451, Paul Ranky
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 621: Syst Analysis & Simulatn, Section 101, Golgen Bengu
Ie 621: Syst Analysis & Simulatn, Section 101, Golgen Bengu
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Ie 650: Adv Topics Oper Res, Section 101, Wenbo Cai
Ie 650: Adv Topics Oper Res, Section 101, Wenbo Cai
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 231: Kinematics Of Machinery, Section 003, Anthony Glick
Me 231: Kinematics Of Machinery, Section 003, Anthony Glick
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 403: Mechanical Systems Design I, Section 103, Yufeng Song
Me 403: Mechanical Systems Design I, Section 103, Yufeng Song
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 406: Mechanical Lab Iii, Section 001, Eonsoo Lee
Me 406: Mechanical Lab Iii, Section 001, Eonsoo Lee
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 407: Heat Transfer, Section 101, Yufeng Song
Me 407: Heat Transfer, Section 101, Yufeng Song
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 407: Heat Transfer, Section 103, Eonsoo Lee
Me 407: Heat Transfer, Section 103, Eonsoo Lee
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 614: Continuum Mechanics, Section 101, I. Joga Rao
Me 614: Continuum Mechanics, Section 101, I. Joga Rao
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 620: Mechanics Of Materials, Section 101, Xing Liu
Me 620: Mechanics Of Materials, Section 101, Xing Liu
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Me 622: Finite Element Methods In Me, Section 001, Samaneh Farokhirad
Me 622: Finite Element Methods In Me, Section 001, Samaneh Farokhirad
Mechanical and Industrial Engineering Syllabi
No abstract provided.
Applied Statistics Course Offerings: Fall 2025, University Of Mississippi. Graduate School
Applied Statistics Course Offerings: Fall 2025, University Of Mississippi. Graduate School
GMAS Course List
No abstract provided.
The Tess Grand Unified Hot Jupiter Survey. Iii. Thirty More Giant Planets, S. W. Yee, J. N. Winn, J. D. Hartman, J. E. Rodriguez, G. Zhou, D. W. Latham, S. N. Quinn, A. Bieryla, K. A. Collins, J. D. Eastman, K. I. Collins, D. M. Conti, Eric L.N. Jensen, D. Baker, K. Barkaoui, Ö. Baştürk, M. P. Battley, D. Bayliss, T. G. Beatty, Y. Beletsky, A. A. Belinski, Z. Benkhaldoun, P. Benni, P. Bosch-Cabot, C. Briceño, A. Brudny, M. R. Burleigh, R. P. Butler, S. Chairetas, A. Chontos, J. Christiansen, D. R. Ciardi, C. A. Clark, R. Cloutier, M. W. Craig, J. D. Crane, N. Dowling, C. D. Dressing, J. Emmanuel, P. Evans, M. E. Everett, G. Fernández-Rodríguez, J. F. Fernández, R. Forés-Toribio, C. D. Fortenbach, A. Fukui, E. Furlan, T. Gan, M. Ghachoui, S. Giacalone, S. Gill, M. Gillon, K. Hall, Y. Hayashi, C. Hedges, J. Higuera, E. G. Hintz, L. Hirsch, R. Holcomb, K. Horne, F. G. Horta, A. W. Howard, S. B. Howell, H. Isaacson, J. M. Jenkins, T. Kagetani, J. Kamler, A. Kendall, J. Korth, M. A. Kroft, G. Lacedelli, D. Laloum, N. Law, J. P. De Leon, A. M. Levine, P. Lewin, S. E. Logsdon, M. B. Lund, M. M. Madsen, A. W. Mann, C. R. Mann, N. A. Maslennikova, S. Matutano, M. Mccormack, K. K. Mcleod, E. J. Michaels, I. Mireles, M. Mori, J. A. Muñoz, F. Murgas, N. Narita, S. M. O’Brien, C. Odden, E. Palle, Y. G. Patel, P. Plavchan, A. S. Polanski, A. Popowicz, D. J. Radford, P. A. Reed, H. M. Relles, M. Rice, G. R. Ricker, B. S. Safonov, A. B. Savel, J. Schulte, R. P. Schwarz, H. Schweiker, S. Seager, R. Sefako, S. A. Shectman, A. Shporer, D. C. Stephens, C. Stockdale, S. Striegel, T.-G. Tan, J. K. Teske, M. Timmermans, S. Ulmer-Moll, G. Wang, P. J. Wheatley, S. Yalcinkaya, R. Zambelli, J. Van Zandt, C. Ziegler
The Tess Grand Unified Hot Jupiter Survey. Iii. Thirty More Giant Planets, S. W. Yee, J. N. Winn, J. D. Hartman, J. E. Rodriguez, G. Zhou, D. W. Latham, S. N. Quinn, A. Bieryla, K. A. Collins, J. D. Eastman, K. I. Collins, D. M. Conti, Eric L.N. Jensen, D. Baker, K. Barkaoui, Ö. Baştürk, M. P. Battley, D. Bayliss, T. G. Beatty, Y. Beletsky, A. A. Belinski, Z. Benkhaldoun, P. Benni, P. Bosch-Cabot, C. Briceño, A. Brudny, M. R. Burleigh, R. P. Butler, S. Chairetas, A. Chontos, J. Christiansen, D. R. Ciardi, C. A. Clark, R. Cloutier, M. W. Craig, J. D. Crane, N. Dowling, C. D. Dressing, J. Emmanuel, P. Evans, M. E. Everett, G. Fernández-Rodríguez, J. F. Fernández, R. Forés-Toribio, C. D. Fortenbach, A. Fukui, E. Furlan, T. Gan, M. Ghachoui, S. Giacalone, S. Gill, M. Gillon, K. Hall, Y. Hayashi, C. Hedges, J. Higuera, E. G. Hintz, L. Hirsch, R. Holcomb, K. Horne, F. G. Horta, A. W. Howard, S. B. Howell, H. Isaacson, J. M. Jenkins, T. Kagetani, J. Kamler, A. Kendall, J. Korth, M. A. Kroft, G. Lacedelli, D. Laloum, N. Law, J. P. De Leon, A. M. Levine, P. Lewin, S. E. Logsdon, M. B. Lund, M. M. Madsen, A. W. Mann, C. R. Mann, N. A. Maslennikova, S. Matutano, M. Mccormack, K. K. Mcleod, E. J. Michaels, I. Mireles, M. Mori, J. A. Muñoz, F. Murgas, N. Narita, S. M. O’Brien, C. Odden, E. Palle, Y. G. Patel, P. Plavchan, A. S. Polanski, A. Popowicz, D. J. Radford, P. A. Reed, H. M. Relles, M. Rice, G. R. Ricker, B. S. Safonov, A. B. Savel, J. Schulte, R. P. Schwarz, H. Schweiker, S. Seager, R. Sefako, S. A. Shectman, A. Shporer, D. C. Stephens, C. Stockdale, S. Striegel, T.-G. Tan, J. K. Teske, M. Timmermans, S. Ulmer-Moll, G. Wang, P. J. Wheatley, S. Yalcinkaya, R. Zambelli, J. Van Zandt, C. Ziegler
Physics & Astronomy Faculty Works
We present the discovery of 30 transiting giant planets that were initially detected using data from NASA’s Transiting Exoplanet Survey Satellite mission. These new planets orbit relatively bright (G ≤ 12.5) FGK host stars with orbital periods between 1.6 and 8.2 days, and have radii between 0.9 and 1.7 Jupiter radii. We performed follow-up ground-based photometry, high angular resolution imaging, high-resolution spectroscopy, and radial velocity monitoring for each of these objects to confirm that they are planets and determine their masses and other system parameters. The planets’ masses span more than an order of magnitude (0.17 MJ < M …
A Unified Dnn Weight Compression Framework Using Reweighted Optimization Methods, Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Et. Al.
A Unified Dnn Weight Compression Framework Using Reweighted Optimization Methods, Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Et. Al.
Computer Science Faculty Publications
To address the large model sizes and intensive computation requirements of deep neural networks (DNNs), weight pruning techniques have been proposed and generally fall into two categories: static regularization-based pruning and dynamic regularization-based pruning. However, the static method often leads to either complex operations or reduced accuracy, while the dynamic method requires extensive time to adjust parameters to maintain accuracy while achieving effective pruning. In this paper, we propose a unified robustness-aware framework for DNN weight pruning that dynamically updates regularization terms bounded by the designated constraint. This framework can generate both non-structured sparsity and different kinds of structured sparsity, …
Colorado, Elizabeth Witting, Caroline Rollheiser, Caroline Day
Colorado, Elizabeth Witting, Caroline Rollheiser, Caroline Day
Water Law Review
No abstract provided.
Chmy 121n.H51: Introduction To General Chemistry - Hamilton, Jennifer A. Corbin
Chmy 121n.H51: Introduction To General Chemistry - Hamilton, Jennifer A. Corbin
University of Montana Course Syllabi, 2021-2025
No abstract provided.
Dd-303: Foundations Of Sound And Music, Section 003, Alexander Liebermann
Dd-303: Foundations Of Sound And Music, Section 003, Alexander Liebermann
School of Art and Design Syllabi
No abstract provided.
Optimizing Object Detection For Remote Monitoring With Owl Ducklink Radios, Colin Ren-Jin Babian
Optimizing Object Detection For Remote Monitoring With Owl Ducklink Radios, Colin Ren-Jin Babian
Electrical Engineering
This project develops an AI powered object detection system integrated with OWL DuckLink radios to enable real time remote monitoring. The system benchmarks multiple AI accelerators using a Raspberry Pi 5 to determine their efficiency in low power, long range communication environments. By evaluating the Raspberry Pi 5 CPU (7.62W, 14.5 camera FPS, 3.8 inference FPS), Raspberry Pi AI Camera with Sony IMX500 (6.45W, 30 camera FPS, 9.2 inference FPS), and Raspberry Pi AI Hat with Hailo-8L chipset (7.80W, 30 camera FPS, >30 inference FPS), this project identifies the most effective combination of hardware and software for edge AI applications. …
Neutrosophy-Driven Deep Learning For Predicting Student Performance, Nguyen Thi Kimson, Nguyen Thothong, Nguyen Huuquynh
Neutrosophy-Driven Deep Learning For Predicting Student Performance, Nguyen Thi Kimson, Nguyen Thothong, Nguyen Huuquynh
Neutrosophic Sets and Systems
No abstract provided.
Lead Exposure In The 21st Century: Modeling A Path From Crisis To Prevention, Danlin Yu
Lead Exposure In The 21st Century: Modeling A Path From Crisis To Prevention, Danlin Yu
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
No abstract provided.
Cet 313: Heavy Highway Construction, Section 001, Melissa Valoura
Cet 313: Heavy Highway Construction, Section 001, Melissa Valoura
School of Applied Engineering and Technology Syllabi
No abstract provided.
Met 237: Strength Of Materials For Technology, Section 101, Arijit Sengupta
Met 237: Strength Of Materials For Technology, Section 101, Arijit Sengupta
School of Applied Engineering and Technology Syllabi
No abstract provided.
Cim 101: Intro To The Concrete Industry, Section 001, Mohab Hussein
Cim 101: Intro To The Concrete Industry, Section 001, Mohab Hussein
School of Applied Engineering and Technology Syllabi
No abstract provided.