Supercapacitor properties of partially oxidised-MXene quantum dots/graphene hybrids: Fabrication of flexible/wearable micro-supercapacitor devices
L Pradhan, B Mohanty, G Padhy, RK Trivedi… - Chemical Engineering …, 2024 - Elsevier
Recently, combining the synergistic properties of two-dimensional (2D) and zero-
dimensional (0D) materials has attracted significant attention for energy applications. Here …
dimensional (0D) materials has attracted significant attention for energy applications. Here …
[HTML][HTML] Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network …
Sustainable natural resources management relies on effective and timely assessment of
conservation and land management practices. Using satellite imagery for Earth observation …
conservation and land management practices. Using satellite imagery for Earth observation …
Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks
V Kunc, J Kléma - arxiv preprint arxiv:2402.09092, 2024 - arxiv.org
Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …
many areas of life. Recently, their importance and practical usability have further been …
The impact of data processing and ensemble on breast cancer detection using deep learning
According to the World Health Organization, cancer is the second leading cause of mortality.
Breast cancer is the most prevalent cancer diagnosed in women around the world. Breast …
Breast cancer is the most prevalent cancer diagnosed in women around the world. Breast …
Revealing gene regulation-based neural network computing in bacteria
Bacteria are known to interpret a range of external molecular signals that are crucial for
sensing environmental conditions and adapting their behaviors accordingly. These external …
sensing environmental conditions and adapting their behaviors accordingly. These external …
High-efficiency adaptive temperature control for thermoelectric system based on the OBPPID strategy
Z Chen, X Xu, J Zhang, Y Yuan, P Shen, X Mou - Energy, 2024 - Elsevier
Thermoelectric cooler (TEC) is widely used for temperature control in optoelectronics,
machinery, biomedicine, and other fields. However, the unstable temperature control over …
machinery, biomedicine, and other fields. However, the unstable temperature control over …
Nextdet: Efficient sparse-to-dense object detection with attentive feature aggregation
P Kalgaonkar, M El-Sharkawy - Future Internet, 2022 - mdpi.com
Object detection is a computer vision task of detecting instances of objects of a certain class,
identifying types of objects, determining its location, and accurately labelling them in an …
identifying types of objects, determining its location, and accurately labelling them in an …
Machine learning approach for diagnosis of heart diseases
M Makram, N Ali, A Mohammed - 2022 2nd International Mobile …, 2022 - ieeexplore.ieee.org
For decades, cardiovascular diseases have been the leading cause of death. According to
the most recent WHO data, coronary heart disease deaths in Egypt accounted for 29.38 …
the most recent WHO data, coronary heart disease deaths in Egypt accounted for 29.38 …
PSO-convolutional neural networks with heterogeneous learning rate
Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the
scope of computer vision and related fields. Nevertheless, the dynamics of training of these …
scope of computer vision and related fields. Nevertheless, the dynamics of training of these …
Deep learning with ExtendeD Exponential Linear Unit (DELU)
Activation functions are crucial parts of artificial neural networks. From the first perceptron
created artificially up to today, many functions are proposed. Some of them are currently in …
created artificially up to today, many functions are proposed. Some of them are currently in …