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41
Deep Learning for Molecular Design: Models, Frameworks, and Applications
Deep Learning for Molecular Design: Models, Frameworks, and Applications
Alshehri, Abdulelah Saeed A.Chemical Engineering. | Cornell University. | 2024
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42
PLL Design for FMCW Radar Systems.
PLL Design for FMCW Radar Systems.
Liu, Benyuanyi.Electrical Engineering & Computer S | University of California, Berkeley. | 2024
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43
Navigating Heterogeneity and Scalability in Modern Chip Design.
Navigating Heterogeneity and Scalability in Modern Chip Design.
Orenes-Vera, Marcelo.Computer Science. | Princeton University. | 2024
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44
Designing Machine Learning-Enhanced Tools and Physics-Based Techniques for Force Field and Electrostatic Models.
Designing Machine Learning-Enhanced Tools and Physics-Based Techniques for Force Field and Electrostatic Models.
Guan, Xingyi.Chemistry. | University of California, Berkeley. | 2024
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45
Control Related Metrics for Multidisciplinary Design Optimization.
Control Related Metrics for Multidisciplinary Design Optimization.
Bahia Monteiro, Bernardo.Aerospace Engineering. | University of Michigan. | 2024
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46
The Learning Code : Designing AI-Driven Adaptive Learning Systems for Social Learning.
The Learning Code : Designing AI-Driven Adaptive Learning Systems for Social Learning.
Gautam, Sanjana. | The Pennsylvania State University. | 2024
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47
Learning About and Over Networks: Optimized Designs for Network Tomography and Decentralized Learning.
Learning About and Over Networks: Optimized Designs for Network Tomography and Decentralized Learning.
Chiu, Cho-Chun. | The Pennsylvania State University. | 2024
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48
Participation and Transparency in AI System Design and Integration.
Participation and Transparency in AI System Design and Integration.
Delgado, Fernando Alonso.Information Science. | Cornell University. | 2024
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49
Designing Contextual XR Visualizations for Sports Analytics.
Designing Contextual XR Visualizations for Sports Analytics.
Lin, Tica.Engineering and Applied Sciences - Compu | Harvard University. | 2024
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50
Synthetic Vascular Design and Simulations for Biomanufactured Tissues and Patient-Specific Modeling Applications.
Synthetic Vascular Design and Simulations for Biomanufactured Tissues and Patient-Specific Modeling Applications.
Sexton, Zachary Aaron. | Stanford University. | 2024
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