InceptMan: An InceptionNeXt-Based Architecture for End-to-End Mandible Reconstruction by Nattapon Kamboonsri, Natdanai Tantisereepatana, Titipat Achakulvisut, Peerapon Vateekul

“…To address these challenges, we present a novel UNet-based architecture based on CraNeXt and InceptionNeXt designed for automated mandible reconstruction, InceptMan. …”
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The inception of demographic theory in Serbia by Mijatović Boško

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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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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

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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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Experimental evidence of kinetically driven mechanisms for soot inception by Hope A. Michelsen, Matthew F. Campbell, K. Olof Johansson, Paul E. Schrader, Kevin R. Wilson

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Freemasonry in Belarus from its inception to 1917: character and features by Konstantin P. Kurylev

“…The relevance of the research topic is determined by the need for scientific understanding of the phenomenon of Freemasonry in its development in the Belarusian lands from the moment of its inception and up to 1917 in its historical development. …”
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Abrupt weakening of deep Atlantic circulation at the last glacial inception by Yuxin Zhou, Jerry F. McManus, Celeste T. Pallone, Timothy C. Kenna, Gabriel A. Weinstein, Herman Garcia

“…Abstract Deglaciations and glacial inceptions are the two equally important transitional periods that bridge the glacial and interglacial climate states, yet our understanding of deglaciations far exceeds that of glacial inceptions. …”
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Deciphering the microbiome–metabolome landscape of an inflammatory bowel disease inception cohort by Shiva T. Radhakrishnan, Benjamin H. Mullish, Marton L. Olbei, Nathan P. Danckert, Maria A. Valdivia-Garcia, Jose I. Serrano-Contreras, Despoina Chrysostomou, Sharmili Balarajah, Robert W. Perry, John P. Thomas, Lejla Potari-Gul, Dezso Modos, Lucy C. Hicks, Nick Powell, Timothy R. Orchard, Jia V. Li, Julian R. Marchesi, Tamas Korcsmaros, James L. Alexander, Horace R. T. Williams

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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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Detection of Inception Cavitation in Centrifugal Pump by Fluid-Borne Noise Diagnostic by Liang Dong, Yuqi Zhao, Cui Dai

“…The broadband SPL of liquid-borne noise between 2000 and 3000 Hz can be used to detect the inception cavitation, and the cavitation detection threshold is determined as 1.0%.…”
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KEY INSIGHTS AND LESSONS LEARNED SINCE THE INCEPTION OF THE SWEDISH PSYCHOLOGICAL AGENCY by Magnus Hjort

“…Magnus Hjort presented Key Insights and Lessons Learned Since the Inception of the Swedish Psychological Defence Agency for this year’s West Coast Security Conference. …”
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Melanoma in Buckinghamshire: Data from the Inception of the Skin Cancer Multidisciplinary Team by J. J. Cubitt, A. A. Khan, E. Royston, M. Rughani, M. R. Middleton, P. G Budny

“…This study aims to investigate the management and survival of patients diagnosed with melanoma around the time of inception of the regional skin cancer multidisciplinary team both to benchmark the service against published data and to enable future analysis of the impact of the specialisation of skin cancer care. …”
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Narrativas cinematográficas en la era digital: Sucker Punch e Inception by Vicente Castellanos Cerda

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Multi-kernel inception-enhanced vision transformer for plant leaf disease recognition by Sk Mahmudul Hassan, Kumar Sekhar Roy, Ruhul Amin Hazarika, Mehbub Alam, Mithun Mukherjee

“…In this paper, we have proposed an Inception-Enhanced Vision Transformer (IEViT) architecture to identify diseases in plants. …”
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Cohort profile: the Swedish Inception Cohort in inflammatory bowel disease (SIC-IBD) by Jonas Halfvarson, Mauro D’Amato, Lena Öhman, Carl Eriksson, Sven Almer, Jan Marsal, Åsa V Keita, Johan D Söderholm, Francesca Bresso, Olof Grip, Charlotte R H Hedin, Daniel Bergemalm, Jóhann P Hreinsson, Dirk Repsilber, Benita Salomon, Olle Grännö, Hans Strid, Adam Carstens, Henrik Hjortswang, André Blomberg, Niloofar Nikaein, Shoaib Bakhtyar, Carl Mårten Lindqvist, Elisabeth Hultgren Hörnquist, Maria K Magnusson, Marie Carlson, Robert Kruse, Maria Ling Lundström

“…During the first year of follow-up, 37% (53/142) of the patients with Crohn’s disease, 24% (48/201) with ulcerative colitis and 4% (1/24) with IBD-U experienced an aggressive disease course.Future plans We have established an inception cohort enabling ongoing initiatives to collect and generate clinical data and multi-omics datasets. …”
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A History of Addis Ababa University’s Faculty of Education from Inception to 1974 by Teferi Mekonnen Bekel, Abdussamad H. Ahmad

“…It records the development of the faculty since its inception in careful detail, with due attention to major events, organizational adjustments, and educational reforms that marked its path. …”
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Pengujian Metode Inception V3 dalam Mengidentifikasi Penyakit Kanker Kulit by Alvin Widyadhana Kosman, Yulia Wahyuningsih, Fernandi Mahendrasusila

“…Studi ini mengeksplorasi pendekatan alternatif yang efisien dengan menggunakan computer vision dan machine learning, khususnya Inception V3. Metode Inception V3 adalah salah satu arsitektur jaringan saraf konvolusi (CNN) yang dikembangkan oleh tim peneliti di Google pada tahun 2015. …”
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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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Satellite Image Time-Series Classification with Inception-Enhanced Temporal Attention Encoder by Zheng Zhang, Weixiong Zhang, Yu Meng, Zhitao Zhao, Ping Tang, Hongyi Li

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