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InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks
Published 2025-02-01Subjects: Get full text
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A Systemic Approach to Inceptive Constructions in Lithuanian
Published 2023-12-01Subjects: Get full text
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Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah
Published 2023-02-01“…Makalah ini mencoba menyajikan perbandingan kinerja klasifikasi wajah dengan empat arsitektur deep learning Xception, ResNet50, InceptionResNet-v2, Inception-v3. Dataset yang digunakan berjumlah 4500 gambar yang terbagi lima kelas heart, long, oblong, square, round. …”
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Active Suppression of Rotating Stall Inception with Distributed Jet Actuation
Published 2007-01-01“…An analytical and experimental investigation of the effectiveness of full-span distributed jet actuation for active suppression of long length-scale rotating stall inception is carried out. Detailed modeling and experimental verification highlight the important effects of mass addition, discrete injectors, and feedback dynamics, which may be overlooked in preliminary theoretical studies of active control with jet injection. …”
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From Ascetic Ideals to Honest Illusions: A Nietzschean Interpretation of Inception
Published 2025-02-01“…This article illuminates the open ending of Christopher Nolan's film Inception (2010) in light of Friedrich Nietzsche's philosophy. …”
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Narrativas cinematográficas en la era digital: Sucker Punch e Inception
Published 2012-01-01Get full text
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Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis
Published 2025-01-01“…This research tackles this problem and proposes using Inception-based deep learning (DL) neural networks that, together with transfer learning, are trained in epilepsy seizure detection and tuned in the PPR automatic detection task. …”
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Interaction between Uneven Cavity Length and Shaft Vibration at the Inception of Synchronous Rotating Cavitation
Published 2008-01-01“…To investigate the relationship of the cavity length, fluid force, and shaft vibration in a cavitating inducer with three blades, we observed the unevenness of cavity length at the inception of synchronous rotating cavitation. The fluid force generated by the unevenness of the cavity length was found to grow exponentially, and the amplitude of shaft vibration was observed to increase exponentially. …”
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In-Depth Partial Discharge Inception Voltage Analysis in Laminated Busbar by Means of Experimentations and Simulations
Published 2025-01-01“…However, the design of LBB presents challenges related to criteria such as the busbar’s parasitic inductance and Partial Discharge Inception Voltage (PDIV). As power converter devices evolve, the balance between these two factors becomes increasingly complex, as increasing PDIV through thicker insulation alone also leads to higher parasitic inductance. …”
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Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection
Published 2025-01-01“…This study presents a novel hybrid inception-xception (IX) using a convolution neural network (CNN). …”
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Experimental Investigation of Stall Inception Mechanisms of Low Speed Contra Rotating Axial Flow Fan Stage
Published 2015-01-01“…The present paper is an attempt in understanding the stall inception mechanism in a low speed, contra rotating axial flow fan stage, using wavelet transforms. …”
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Pipeline Multitype Artifact Recognition Method Based on Inception_Resnet _V2 Structure Improving SSD Network
Published 2022-01-01“…Based on the SSD network, the optimized Inception_Resnet _V2 structure is used to improve its feature extraction layer and enhance the extraction capability of the network for small-scale targets. …”
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An Integrated Bearing Fault Diagnosis Method Based on Multibranch SKNet and Enhanced Inception-ResNet-v2
Published 2024-01-01“…Furthermore, the convolution structure in the Inception-ResNet-v2 network was replaced by the improved depthwise separable convolution network to achieve effective feature extraction. …”
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Comparative analysis of deep learning models for crack detection in buildings
Published 2025-01-01Subjects: Get full text
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ResInceptNet-SA: A Network Traffic Intrusion Detection Model Fusing Feature Selection and Balanced Datasets
Published 2025-01-01“…In this paper, a new type of model (ResIncepNet-SA) based on InceptionNet, Resnet, and convolutional neural networks with a self-attention mechanism was proposed to detect network intrusions. …”
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