324 results on '"Sudeep Pasricha"'
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2. MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting.
3. SCRIPT: A Multi-Objective Routing Framework for Securing Chiplet Systems against Distributed DoS Attacks.
4. Improving Block Management in 3D NAND Flash SSDs with Sub-Block First Write Sequencing.
5. Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics.
6. CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization.
7. COMET: A Cross-Layer Optimized Optical Phase-Change Main Memory Architecture.
8. Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators.
9. OPIMA: Optical Processing-in-Memory for Convolutional Neural Network Acceleration.
10. ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks.
11. SENTINEL: Securing Indoor Localization Against Adversarial Attacks With Capsule Neural Networks.
12. SwInt: A Non-Blocking Switch-Based Silicon Photonic Interposer Network for 2.5D Machine Learning Accelerators.
13. Ethical Design of Computers: From Semiconductors to IoT and Artificial Intelligence.
14. SANGRIA: Stacked Autoencoder Neural Networks With Gradient Boosting for Indoor Localization.
15. Life-after-Death: Exploring Thermal Annealing Conditions to Enhance 3D NAND SSD Endurance.
16. AI-Driven Indoor Navigation with Mobile Embedded Systems.
17. A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management.
18. CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing.
19. CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning.
20. AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems.
21. OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration.
22. SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks.
23. ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks.
24. Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions.
25. Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics.
26. SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization.
27. Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers.
28. Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators.
29. SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management.
30. TRINE: A Tree-Based Silicon Photonic Interposer Network for Energy-Efficient 2.5D Machine Learning Acceleration.
31. Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems.
32. Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing.
33. Ethics in Computing Education: Challenges and Experience with Embedded Ethics.
34. TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics.
35. Design Space Exploration for PCM-based Photonic Memory.
36. MOSAIC: A Multi-Objective Optimization Framework for Sustainable Datacenter Management.
37. Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonics.
38. MOELA: A Multi-Objective Evolutionary/Learning Design Space Exploration Framework for 3D Heterogeneous Manycore Platforms.
39. VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization.
40. R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning.
41. Special Issue on Ethics in Computing.
42. A Reinforcement Learning Framework With Region-Awareness and Shared Path Experience for Efficient Routing in Networks-on-Chip.
43. Ethics for Digital Medicine: A Path for Ethical Emerging Medical IoT Design.
44. Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments.
45. A Survey on Optical Phase-Change Memory: The Promise and Challenges.
46. FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices.
47. GHOST: A Graph Neural Network Accelerator using Silicon Photonics.
48. AI Ethics in Smart Healthcare.
49. A Survey on Machine Learning for Geo-Distributed Cloud Data Center Managements.
50. Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization.
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