Results 71 to 80 of about 13,981 (216)

Contrastive Prototype Clustering for Multimodal Remote Sensing Data Based on Spectral–Spatial Cross Mamba

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the increasing diversity of remote sensing (RS) data sources, joint clustering of multimodal RS data demonstrates tremendous potential in Earth observation applications by aggregating multisource information without relying on labeled data. Although
Li Lv, Zhenyang Xie, Hongmin Gao, Shufang Xu, Zhenzhen Li, Haihua Xie, Dongxiao Liu   +6 more
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ПОРІВНЯЛЬНИЙ АНАЛІЗ МЕТОДІВ ГЛИБОКОГО ТА МАШИННОГО НАВЧАННЯ ДЛЯ ВИЯВЛЕННЯ МЕРЕЖЕВИХ ВТОРГНЕНЬ

Кібербезпека: освіта, наука, техніка
У статті представлено результати комплексного порівняльного дослідження шести методів машинного та глибокого навчання для задачі багатокласової класифікації мережевих атак.
Володимир Рихва, Ганна Солодовник   +1 more
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification

Remote Sensing
Class imbalance (CI) poses a significant challenge in machine learning, characterized by a substantial disparity in sample sizes between majority and minority classes, leading to a pronounced “long-tail effect” in statistical distributions and subsequent
Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao   +4 more
doaj   +1 more source

Black Mambas

Educational Media Reviews Online, 2023
Distributed by Docuseek2Produced by Lena Karbe, Ramadan Suleman, and Jan VasakDirected by Lena Karbe2022, Streaming, 81 mins The Kruger National Park, a thousand acres private wildlife reserve in South Africa, was established in 1920 as a symbol of white unity between the British and the Dutch. It is named after President Paul Kruger, who persuaded the
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YOLO-BSMamba: A YOLOv8s-Based Model for Tomato Leaf Disease Detection in Complex Backgrounds

Agronomy
The precise identification of diseases in tomato leaves is of great importance for precise target pesticide application in a complex background scenario. Existing models often have difficulty capturing long-range dependencies and fine-grained features in
Zongfang Liu, Xiangyun Guo, Tian Zhao, Shuang Liang   +3 more
doaj   +1 more source

BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization [PDF]

Neurocomputing
Accurate sound localization in reverberant environments is essential for human auditory perception. Recently, Convolutional Neural Networks (CNNs) have been used to model the binaural human auditory pathway. However, CNNs face limitations in capturing global acoustic features.
Sheng Kuang, Jie Shi 0006, Kiki van der Heijden, Siamak Mehrkanoon   +3 more
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Locally Adaptive Mamba and Multi-Scale Feature Enhancement for Optical Remote Sensing Image Change Detection

Remote Sensing
Within the domain of Earth observation, tracking terrestrial transitions via high-resolution optical data plays a fundamental role. Nevertheless, current methods face critical challenges, including the difficulty in collaborative modeling of local ...
Mingxuan Ding, Qirong Zhou, Qiaolin Ye, Le Sun   +3 more
doaj   +1 more source

A CNN–Mamba-Based Method for Visual Tire–Road Friction Potential Estimation Under Low-Excitation Variable Working Conditions

Vehicles
The road surface adhesion coefficient is a key parameter affecting the dynamic control and driving safety of vehicles. Addressing the limitations of vehicle dynamics-based estimation methods under low-excitation conditions, this paper proposes a vision ...
Ximeng Wu, Yaheng Han, Zhi Li, Fang Liang, Jiandong Zhu   +4 more
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MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation

IEEE Transactions on Computational Social Systems
Ultrasound imaging frequently encounters challenges, such as those related to elevated noise levels, diminished spatiotemporal resolution, and the complexity of anatomical structures. These factors significantly hinder the model's ability to accurately capture and analyze structural relationships and dynamic patterns across various regions of the heart.
Xiaoxian Yang, Qi Wang, Kaiqi Zhang, Ke Wei, Jun Lyu, Lingchao Chen   +5 more
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MHSNet: A Multi-Scale Hidden State Interaction Network for Fault Diagnosis of Rotating Machinery

Tsinghua Science and Technology
The rotating machinery system consists of several key components such as bearings and gears. The operating condition of the bearings directly affects equipment safety and production efficiency.
Fan Zhang, Zhaoqi Li, Yao Cheng, Yan Yang, Yufei Han, Cai Yi, Tianrui Li, Jingke Yan, Likai Dong, Weihua Zhang   +9 more
doaj   +1 more source