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Identifying and Reporting Child abuse

Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.

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Showing 295-315 of 2,753 articles
Evaluating Large Language Models for the Generation of Unit Tests with Equivalence Partitions and Boundary Values

The design and implementation of unit tests is a complex task many programmers neglect. This resea...

DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection

State-of-the-art LiDAR-camera 3D object detectors usually focus on feature fusion. However, they n...

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images

Various multi-instance learning (MIL) based approaches have been developed and successfully applie...

Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning.

BACKGROUND: Understanding protein-molecular interaction is crucial for unraveling the mechanisms und...

May 2025 40346567
Leveraging Depth Maps and Attention Mechanisms for Enhanced Image Inpainting

Existing deep learning-based image inpainting methods typically rely on convolutional networks wit...

MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification

The Mamba model has recently demonstrated strong potential in hyperspectral image (HSI) classifica...

Physics-Driven Neural Compensation For Electrical Impedance Tomography

Electrical Impedance Tomography (EIT) provides a non-invasive, portable imaging modality with sign...

3D-1D modelling of cranial plate heating induced by low or medium frequency magnetic fields

Safety assessment of patients with one-dimensionally structured passive implants, like cranial pla...

M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data

Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...

Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning

Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...

Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning

Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...

HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection

Semi-supervised change detection (SSCD) aims to detect changes between bi-temporal remote sensing ...

InstructEngine: Instruction-driven Text-to-Image Alignment

Reinforcement Learning from Human/AI Feedback (RLHF/RLAIF) has been extensively utilized for prefe...

Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding

Brain decoding currently faces significant challenges in individual differences, modality alignmen...

All-in-Memory Stochastic Computing using ReRAM

As the demand for efficient, low-power computing in embedded and edge devices grows, traditional c...

ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities

Reference-based sketch colorization methods have garnered significant attention due to their poten...

iEBAKER: Improved Remote Sensing Image-Text Retrieval Framework via Eliminate Before Align and Keyword Explicit Reasoning

Recent studies focus on the Remote Sensing Image-Text Retrieval (RSITR), which aims at searching f...

FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge

The proliferation of AI-generated content brings significant concerns on the forensic and security...

Sample-level Adaptive Knowledge Distillation for Action Recognition

Knowledge Distillation (KD) compresses neural networks by learning a small network (student) via t...

Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation

Category-agnostic pose estimation aims to locate keypoints on query images according to a few anno...

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