Results 91 to 100 of about 42,999 (309)

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Investigation of the effective peak supersaturation for liquid-phase clouds at the high-alpine site Jungfraujoch, Switzerland (3580 m a.s.l.) [PDF]

, 2014
Aerosols influence the Earth's radiation budget directly through absorption and scattering of solar radiation in the atmosphere but also indirectly by modifying the properties of clouds. However, climate models still suffer from large uncertainties
C. R. Hoyle, E. Weingartner, Weingartner, Ernest, Baltensperger, U., Gysel, M., E. Hammer, Hammer, E., U. Baltensperger, Baltensperger, Urs, Weingartner, E., Gysel, Martin, Weingartner, Ernest; id_orcid, Vogt, Roland, R. Vogt, Vogt, R., Hoyle, C. R., Hammer, Emanuel, Bukowiecki, Nicolas, Hoyle, Christopher R., N. Bukowiecki, Bukowiecki, N., Jurányi, Zsófia, M. Gysel, Z. Jurányi, Jurányi, Z.   +24 more
core   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Viewing the Forest in 3-D: How Spherical Stereo Videos Enable Low-Cost Reconstruction of Forest Plots

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Understanding and monitoring the surrounding environment increasingly rely on its 3-D representations. However, the often high costs of 3-D data equipment limit its wide usage, and low-cost solutions are in demand. Here, we propose a novel approach based
Hristina Hristova, Arnadi Murtiyoso, Daniel Kukenbrink, Mauro Marty, Meinrad Abegg, Christoph Fischer, Verena C. Griess, Nataliia Rehush   +7 more
doaj   +1 more source

Radiatively-driven processes in forest fire and desert dust plumes [PDF]

, 2008
The absorption of solar radiation by atmospheric aerosol particles is important for the climate effects of aerosols. Absorption by aerosol particles heats atmospheric layers, even though the net effect for the entire atmospheric column may still be a ...
Weinzierl, Bernadett, Weinzierl, Bernadett Barbara   +1 more
core  

Automatic Separation of Photosynthetic Components in a LiDAR Point Cloud Data Collected from a Canadian Boreal Forest

, 2023
Terrestrial LiDAR has emerged as a promising technology for accurate forest assessment. LiDAR can provide a 3D image composed of a cloud of points using a rotary laser scanner.
Leila Taheriazad, Hamid Moghadas, Arturo Sanchez Azofeifa   +2 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Biogeochemistry of an afrotropical montane rain forest on Mt. Kilimanjaro, Tanzania

, 2006
In contrast to their well-studied counterparts in the Neotropics and in Asia, East African montane rain forests are surrounded by semi-arid savanna plains. These plains have a high erosion potential for salt crusts accumulated at the soil surface.
Lyaruu, H., Schrumpf, M, Lyaruu, HVM, Schrumpf, M., Zech, W., Axmacher, J., Axmacher, JC, Lyaruu, H. V. M., Zech, W, Axmacher, J. C.   +9 more
core  

Social behavior in Nototriton brodiei in the Cloud Forest of Cusuco National Park, Honduras

, 2020
The slender and elusive Nototriton brodiei is known only from a few specimens at two separate sites in the Sierra de Merendón, in Guatemala and Honduras. We present the first record of an aggregation of three adults of N.
Gilroy, DL, Cox, CL, Sasso, T, Sasso, Thais, Cox, Christian L, Gilroy, Danielle L   +5 more
core   +1 more source

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

Advanced Intelligent Systems, EarlyView.
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor, Shtwai Alsubai, Monji Mohamed Zaidi, Natalia Kryvinska, Abdullah Al Hejaili, Sidra Abbas   +5 more
wiley   +1 more source