Evaluation of Artificial Intelligence Effectiveness in Detection of Lumbosacral Spine Degenerative Diseases by N. В. Nudnov, A. V. Korobov, А. А. Skachkov, T. V. Kulneva, V. V. Sherstoboev, L. А. Titova, A. S. Rusakov, V. V. Tumko, R. S. Sarbaev, N. А. Uspenskaya, E. А. Andrienko, M. Е. Ivannikov

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Efficient-Proto-Caps: A Parameter-Efficient and Interpretable Capsule Network for Lung Nodule Characterization by Eduardo M. Rodrigues, Margarida Gouveia, Helder P. Oliveira, Tania Pereira

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The pattern of state organization in the new constitution of Lithuania: A third way between the presidential and parliamentary systems? by Andreas Hollstein

“…Thus, to retain the option for classification, the scientists—in addition to the dominant designation between parliamentary and presidential regimes—have developed diverse additive models. …”
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Optimized Change Management Process Through Semantic Requirements and Traceability Analysis Tool by Irum Ilyas, Yaser Hafeez, Shariq Hussain, Sadia Ali, Muhammad Jammal, Ibrahima Kalil Toure

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Revolutionizing agri-food technology: Development and validation of the Portable Intelligent Oil Recognition System (PIORS) by Montaser N.A. Ramadan, Mohammed A.H. Ali, Shin Yee Khoo, Layth Hamad, Mohammad Alkhedher

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Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine by Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli

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Addressing challenges to cloud manufacturing in industry 4.0 environment using an integrated approach: Implications for sustainability by Hasin Md. Muhtasim Taqi, Ibteahaz Nayeem, A.B.M. Mainul Bari, Md. Zahidul Anam, Syed Mithun Ali

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A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection by Kapil Shrivastava, Saroj Pandey, Rishav Dubey, Mayank Namdev, Vipin Tiwari, Aditi Sharma

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A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach by P. T. Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti

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A science-based approach to classifying light vehicles in Europe: methodology and case studies by Lorenzo Laveneziana, Andres L. Marin, Dermot O’Brien, Matteo Prussi, Georgios Fontaras

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Corn leaf disease diagnosis: enhancing accuracy with resnet152 and grad-cam for explainable AI by Kirubasri Gopalan, Saravanan Srinivasan, Pragya ., Manu Singh, Sandeep Kumar Mathivanan, Usha Moorthy

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PROFIT AND PROFITABILITY OF THE COMMERCIAL COMPANIES DEALING WITH DAIRY FARMING by Agatha POPESCU, Alina MARCUTA, Cristina TINDECHE, Carmen ANGELESCU, Liviu MARCUTA

“…For Lei one million expenses, the average net profit varied between Lei 310 thousand in C5 and 20 thousand in C3. The total number of points received for each analyzed indicator led to the following classification of the companies, in the decreasing order of profitability: C5, C4,C2, C6,C1 and C3. …”
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Leveraging LIME for Trustworthy Apple Quality Assessment by İsmail Kırbaş, Ahmet Çifci

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An Application of Qualitative Risk Analysis as a Tool Adopted by Public Organizations for Evaluating “Green Projects” by Maurizio Lanfranchi, Carlo Giannetto, Angelina De Pascale, Remus Ion Hornoiu

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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…From the perspective of collaborative operations in multi-robot SLAM, the study outlines the classification of SLAM frameworks, including three main collaborative types: centralized, distributed, and hybrid. …”
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What happens between first symptoms and first acute exacerbation of COPD – observational study of routine data and patient survey by Alex Bottle, Alex Adamson, Xiubin Zhang, Benedict Hayhoe, Jennifer K Quint

“…Using a research database of general practitioner consultation records linked to hospital admissions and the national death register, we described patient characteristics, general practitioner actions before and following diagnosis, and, with statistical models, predictors of the first exacerbation. We looked at three time periods according to the date of diagnosis: April 2006–March 2007 (cohort 1), April 2016–March 2017 (cohort 2) and March–August 2020 (cohort 3). …”
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Where We Rate: The Impact of Urban Characteristics on Digital Reviews and Ratings by Özge Öztürk Hacar, Müslüm Hacar, Fatih Gülgen, Luca Pappalardo

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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

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