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PVminerLLM2 Uses Preference Optimization to Improve Structured Patient Voice Extraction Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course AutoDojo: Adaptive Attacks Expose Superficial Defenses and Structural Limits in LLM Agents Calibrated Variance Propagation Cuts Uncertainty Estimation Cost for Deep Learning Models Patel Engineering Joint Venture Secures ₹126 Crore Tasgaon Lift Irrigation Project in Maharashtra EgoPhys Framework Creates Deformable Object Digital Twins from Single Egocentric Video Fast When, Careful Who: Dual-Process Multiparty Turn-Taking with Diffusion Augmentation Ensemble Deep Learning Achieves 99.27% Accuracy in Lemon Leaf Disease Detection India's structural growth story remains strong despite global uncertainties: Ventura Lossy Compression Slashes Storage 39x for Neural Surrogate Models, Study Finds PVminerLLM2 Uses Preference Optimization to Improve Structured Patient Voice Extraction Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course AutoDojo: Adaptive Attacks Expose Superficial Defenses and Structural Limits in LLM Agents Calibrated Variance Propagation Cuts Uncertainty Estimation Cost for Deep Learning Models Patel Engineering Joint Venture Secures ₹126 Crore Tasgaon Lift Irrigation Project in Maharashtra EgoPhys Framework Creates Deformable Object Digital Twins from Single Egocentric Video Fast When, Careful Who: Dual-Process Multiparty Turn-Taking with Diffusion Augmentation Ensemble Deep Learning Achieves 99.27% Accuracy in Lemon Leaf Disease Detection India's structural growth story remains strong despite global uncertainties: Ventura Lossy Compression Slashes Storage 39x for Neural Surrogate Models, Study Finds
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Ensemble Deep Learning Achieves 99.27% Accuracy in Lemon Leaf Disease Detection Technology
Artificial Intelligence #deep learning#ensemble

Ensemble Deep Learning Achieves 99.27% Accuracy in Lemon Leaf Disease Detection

A study on arXiv presents an ensemble deep learning approach for classifying lemon leaf diseases, achieving 99.27% accuracy. The method combines InceptionV3 and MobileNetV2 with adversarial training and Grad-CAM visualization, using a dataset of 1,354 images across 9 classes.

Jun 16, 2026 1 source
Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18% Technology
Artificial Intelligence #deepfake detection#teacher-student

Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18%

Researchers propose EAV-DFD, an ensemble audio-visual deepfake detection model with a teacher-student domain adaptation mechanism. Tested on FakeAVCeleb as primary domain and three unseen datasets (DFDC, Deepfake_TIMIT, PolyGlotFake), it improved AUC by 4.09%, 17.94%, and 0.5%, respectively, using only a small portion of target domain data.

Jun 16, 2026 1 source