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Indian mangoes have a wide variety. Mango is one of the key agricultural crops in India. To meet the quality standards of the international market, a classification model is designed using Random ...
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Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a limited ...
Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora is ...
Glioma classification is critical for early diagnosis and treatment planning, yet manual MRI-based diagnosis is time-consuming and prone to errors. This study proposed a CNN-based approach optimized ...
An early intelligence assessment indicated that the U.S. military strikes on three of Iran's nuclear facilities last weekend did not destroy the core components of Tehran's nuclear program and ...
Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays (NRs) are ...
Low-rank adaptation (LoRA), a paradigm bridging the gap between large language models and fine-tuning, has demonstrated effectiveness across various natural language processing tasks. The LoRA ...
Two of Ananda Lewis' friends — Sara Sidner and Stephanie Elam — honored the late MTV VJ during a special segment on CNN. Elam shared her longtime friend's final text message to her in an ...
On Thursday, June 12, her longtime friend, CNN correspondent Stephanie Elam, joined another friend, fellow CNN correspondent Sara Sidner, on air to discuss their memories of Lewis.
Nvidia will no longer include the China market in its revenue and profit forecasts following stringent U.S. trade restrictions on chip sales to the region, CEO Jensen Huang told CNN on Thursday.
Cybersecurity researchers have discovered a novel attack technique called TokenBreak that can be used to bypass a large language model's (LLM) safety and content moderation guardrails with just a ...
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