InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks by Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi

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A Systemic Approach to Inceptive Constructions in Lithuanian by Rolandas Mikulskas

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Realidades posibles e indicialidad en Inception by Raúl Roydeen García Aguilar

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Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah by Fitriana Masruroh, Bayu Surarso, Budi Warsito

“…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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Gearbox Fault Diagnosis based on GAF-inceptionResNet by Changwen Li, Peng Li, Hua Ding

“…Through the stem-block， residual inception， residual module and classification layer， the residual inception network can broaden the network depth and improve the training time and accuracy， the residual block uses identity mapping to greatly reduce the training difficulty of the model. …”
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Active Suppression of Rotating Stall Inception with Distributed Jet Actuation by Huu Duc Vo

“…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 by Yonghwa Lee, Kyoung-Min Han

“…This article illuminates the open ending of Christopher Nolan's film Inception (2010) in light of Friedrich Nietzsche's philosophy. …”
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Inception neural network for human activity recognition using wearable sensor by Duo CHAI, Cheng XU, Jie HE, Shao-yang ZHANG, Shi-hong DUAN, Yue QI

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Narrativas cinematográficas en la era digital: Sucker Punch e Inception by Vicente Castellanos Cerda

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Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis by Fernando Moncada Martins, Víctor M González, José R Villar, Beatriz García López, Ana Isabel Gómez-Menéndez

“…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 by Y. Yoshida, Y. Kazami, K. Nagaura, M. Shimagaki, Y. Iga, T. Ikohagi

“…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 by Oussama Abdel Illah Rahmouni, Sonia Ait-Amar, Stephane Duchesne, Jean-Francois Wecxsteen

“…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 by Santosh Kumar Henge, Nikhil Reddy Viraati, Musaed Alhussein, Ajay Shriram Kushwaha, Khursheed Aurangzeb, Ravleen Singh

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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

“…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 by Tegegn Dejene Toge, A. M. Pradeep

“…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 by Yi Zheng

“…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 by Baoquan Hu, Jun Liu, Yue Xu, Tianlong Huo

“…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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Multi‐data classification detection in smart grid under false data injection attack based on Inception network by H. Pan, H. Yang, C. N. Na, J. Y. Jin

“…A multi‐data detection model based on the Inception network is established, and the overall structure of the network and the individual Inception modules are given. …”
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FutureMS cohort profile: a Scottish multicentre inception cohort study of relapsing-remitting multiple sclerosis by David Hunt, Siddharthan Chandran, Peter Connick, Peter Foley, Patrick K A Kearns, Sergio E Baranzini, Adam D Waldman, Sarah J Martin, Elizabeth Freyer, F J Carod-Artal, Lee Murphy, Amy Stenson, Jessie Chang, Rozanna Meijboom, Elizabeth N York, Yingdi Chen, Christine Weaver, Katarzyna Hafezi, Stacey Thomson, Adil Harroud, Margaret McLeod, Jonathon O'Riordan, Niall J J MacDougall

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No Obesity Paradox—BMI Incapable of Adequately Capturing the Relation of Obesity with All-Cause Mortality: An Inception Diabetes Cohort Study by Mohammadreza Bozorgmanesh, Banafsheh Arshi, Farhad Sheikholeslami, Fereidoun Azizi, Farzad Hadaegh

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