Role of Traditional Cardiovascular Risk Factors after Initiation of Statin Therapy: A PharmLines Inception Cohort Study by Dennis Steenhuis, Stijn de Vos, Jens Bos, Eelko Hak

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ResInceptNet-SA: A Network Traffic Intrusion Detection Model Fusing Feature Selection and Balanced Datasets by Guorui Liu, Tianlin Zhang, Hualin Dai, Xinyang Cheng, Daoxuan Yang

“…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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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

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FAO PRESS RELEASE “NATIONAL INCEPTION WORKSHOP: LIFECYCLE MANAGEMENT OF PESTICIDES AND DISPOSAL OF POPS (PERSISTENT ORGANIC POLLUTANTS) PESTICIDES IN KYRGYZSTAN” by Article Editorial

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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. …”
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Influence of Genetics, Immunity and the Microbiome on the Prognosis of Inflammatory Bowel Disease (IBD Prognosis Study): the protocol for a Copenhagen IBD Inception Cohort Study by Johan Burisch, Lene Terslev, Mikkel Østergaard, Annette Bøjer Jensen, Frank Krieger Jensen, Flemming Bendtsen, Charlotte Wiell, Mohamed Attauabi, Klaus Theede, Viktoria Fana, Hartwig Roman Siebner, Henrik S Thomsen, Jakob M Møller, Simon Francis Thomsen, Gorm Roager Madsen, Anne Vibeke Wewer, Rune Wilkens, Johan Ilvemark, Nora Vladimirova, Sanja Bay Hansen, Yousef Jesper Wirenfeldt Nielsen, Helene Andrea Sinclair Ingels, Trine Boysen, Jacob T Bjerrum, Christian Jakobsen, Maria Dorn-Rasmussen, Sabine Jansson, Yiqiu Yao, Ewa Anna Burian, Frederik Trier Møller, Kristina Bertl, Andreas Stavropoulos, Jakob B Seidelin

“…We have initiated a Danish population-based inception cohort study aiming to investigate the underlying mechanisms for the heterogeneous course of IBD, including need for, and response to, treatment.Methods and analysis IBD Prognosis Study is a prospective, population-based inception cohort study of unselected, newly diagnosed adult, adolescent and paediatric patients with IBD within the uptake area of Hvidovre University Hospital and Herlev University Hospital, Denmark, which covers approximately 1 050 000 inhabitants (~20% of the Danish population). …”
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Inception and Evolution of Nitrogen Sorption Hysteresis Loops by Thermally-Induced Nanopore Drilling in TiO Xerogel Microspheres: UV Photoreduction of Methyl Orange by Celso Velásquez, M. Luisa Ojeda, Antonio Campero, J. Javier Sánchez-Mondragón, J. Marcos Esparza, Fernando Rojas

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A novel arc detection and identification method in pantograph-catenary system based on deep learning by Yue Yan, Hu Liu, Linfeng Gan, Runtong Zhu

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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

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Persistently different patterns of patient’s global assessment of health in rheumatoid arthritis are associated with pain and impaired function more than with inflammation: an inception cohort study over 15 years by Sofia Ajeganova, Ingiäld Hafström, Valentina Bala, Björn Svensson

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MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation by Hua Cheng, Yang Zhang, Huangxin Xu, Huangxin Xu, Dingliang Li, Zejian Zhong, Yinchuan Zhao, Zhuo Yan

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Combining Multi-Scale U-Net With Transformer for Welding Defect Detection of Oil/Gas Pipeline by Shanwen Zhang, Xuqi Wang, Ting Zhang

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Multiple sclerosis diagnosis with brain MRI retrieval: A deep learning approach by R.M. Haggag, Eman M. Ali, M.E. Khalifa, Mohamed Taha

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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

Subjects: “…ConvNeXtLarge, DensNet121, DensNet201, HAM10000 Dataset, Inception V…”
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Penerapan Blok SE-NET Pada Deep Learning Inceptionv3 untuk Meningkatkan Deteksi Penyakit Mpox pada Manusia by M. Bakhara Alief Rachman, Aliyah Kurniasih, Andika Sundawijaya, Ahlijati Nuraminah

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Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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Intelligent Psychology Teaching System Based on Adaptive Neural Network by Xiaojia Pang

“…Among them, the number of interactive learning elements inception modules used by the network models GoogLeNet, Inception-v2, Inception-v4, and Inception-ResNet-v2 are 9, 10, 14, and 20, respectively. …”
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Observations of the Growth and Decay of Stall Cells during Stall and Surge in an Axial Compressor by Adam R. Hickman, Scott C. Morris

“…This research investigated unsteady events such as stall inception, stall-cell development, and surge. Stall is characterized by a decrease in overall pressure rise and nonaxisymmetric throughflow. …”
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Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics by Anuradha Ganesan, N. Gautham Kumar, Prabhu Manickam Natarajan, Jeevitha Gauthaman

“…This comparison indicates that EfficientNetB5 outperformed InceptionV3 across all key metrics.ConclusionIn conclusion, our study presents a deep learning-based approach utilizing EfficientNetB5 and InceptionV3 to accurately categorize elongated styloid processes into distinct types based on their morphological characteristics from digital panoramic radiographs. …”
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