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Learning in an exotic social wasp while relocating a food source

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Learning in an exotic social wasp while relocating a food source

Lozada, Mariana et al · Elsevier · 2014 · ISSN 0928-4257

In this paper we review several studies on V. germanica behavioral plasticity while relocating a food source in natural environments. This exotic social wasp, which has become established in many parts of the world, disp...

Idioma eng

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An integrated deep learning framework leveraging NASNet and vision transformer with MixProcessing for accurate and precise diagnosis of lung diseases

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An integrated deep learning framework leveraging NASNet and vision transformer with MixProcessing for accurate and precise diagnosis of lung diseases

Sajjad Saleem et al · Elsevier · 2026 · ISSN 2472-6303

Lung diseases such as pneumonia, tuberculosis, COVID-19, and lung cancer remain significant global health challenges that demand rapid and accurate diagnosis to improve patient outcomes. This study proposes NASNet-ViT, a...

LCC TENDOkJpb3RlY2hub2xvZ3k~; TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng

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Quantum differential evolution–optimized deep learning for water quality prediction in smart cities

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Quantum differential evolution–optimized deep learning for water quality prediction in smart cities

Sayed Abdel-Khalek et al · Elsevier · 2026 · ISSN 1110-0168

Smart environments play a crucial role in achieving sustainable development goals, particularly those related to environmental protection and public health. In recent years, environmental degradation caused by air and wa...

LCC LCC:Engineering (General). Civil engineering (General)Idioma eng

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A hierarchical motion planning framework optimizing probabilistic roadmap, pure pursuit, and deep reinforcement learning for non-holonomic automated guided vehicles

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A hierarchical motion planning framework optimizing probabilistic roadmap, pure pursuit, and deep reinforcement learning for non-holonomic automated guided vehicles

Muhammad Aizat et al · Elsevier · 2026 · ISSN 1110-0168

The motion planning is a critical component of autonomous navigation, requiring the vehicle to reach a target location safely. Traditional navigation approaches for four-wheel differential drive automated guided vehicles...

LCC LCC:Engineering (General). Civil engineering (General)Idioma eng

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Incremental learning LSTM for short-term roll forecasting in USVs under varying wave encounter conditions

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Incremental learning LSTM for short-term roll forecasting in USVs under varying wave encounter conditions

Zihao Wang et al · Elsevier · 2026 · ISSN 2468-0133

Unmanned surface vehicles (USVs) operating in open-sea environments experience significant roll motion due to wave-induced excitation. The dynamic roll response depends on various factors, including vessel speed, wave en...

LCC LCC:Ocean engineeringIdioma eng

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