| Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm | May 26, 2017 | CPUScheduling | —Unverified | 0 |
| Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence | Oct 1, 2019 | CPUGPU | —Unverified | 0 |
| Detecting abnormal events in video using Narrowed Normality Clusters | Jan 12, 2018 | Anomaly DetectionClustering | —Unverified | 0 |
| Detecting Ransomware Execution in a Timely Manner | Jan 12, 2022 | Change Point DetectionCPU | —Unverified | 0 |
| Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective | Feb 20, 2025 | CPUGPU | —Unverified | 0 |
| Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do? | Mar 5, 2025 | Bayesian OptimizationCPU | —Unverified | 0 |
| Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm | Jan 29, 2020 | CPUGender Classification | —Unverified | 0 |
| Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategies | Mar 15, 2024 | CPUDecision Making | —Unverified | 0 |
| Development of Real-time ADAS Object Detector for Deployment on CPU | Nov 14, 2018 | CPUObject | —Unverified | 0 |
| DGI: Easy and Efficient Inference for GNNs | Nov 28, 2022 | CPU | —Unverified | 0 |
| Diagonal Memory Optimisation for Machine Learning on Micro-controllers | Oct 4, 2020 | BIG-bench Machine LearningCPU | —Unverified | 0 |
| DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection | Oct 25, 2022 | CPUGPU | —Unverified | 0 |
| Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning | Jun 17, 2022 | Computational EfficiencyCPU | —Unverified | 0 |
| Discovering Multi-Hardware Mobile Models via Architecture Search | Aug 18, 2020 | CPUGPU | —Unverified | 0 |
| DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training | May 8, 2024 | CPUGraph Sampling | —Unverified | 0 |
| DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks | Apr 14, 2021 | CPUgraph partitioning | —Unverified | 0 |
| Distilling Neural Networks for Greener and Faster Dependency Parsing | Jun 1, 2020 | CPUDependency Parsing | —Unverified | 0 |
| Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications | Jun 17, 2025 | Action DetectionActivity Detection | —Unverified | 0 |
| Distributed and Joint Optimization of Precoding and Power for User-Centric Cell-Free Massive MIMO | May 9, 2022 | CPU | —Unverified | 0 |
| Distributed Bayesian Inference for Large-Scale IoT Systems | Dec 19, 2023 | Bayesian InferenceCPU | —Unverified | 0 |
| Distributed Bayesian Piecewise Sparse Linear Models | Nov 7, 2017 | CPUModel Selection | —Unverified | 0 |
| Distributed Channel Estimation and Optimization for 6D Movable Antenna: Unveiling Directional Sparsity | Sep 24, 2024 | CPUPosition | —Unverified | 0 |
| Distributed CPU Scheduling Subject to Nonlinear Constraints | Aug 30, 2022 | CPUDistributed Optimization | —Unverified | 0 |
| Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation | Oct 27, 2023 | AllCPU | —Unverified | 0 |
| Distributed Graph Neural Network Training: A Survey | Nov 1, 2022 | CPUDistributed Computing | —Unverified | 0 |