Advances in authentication and security protocols for 5G networks: a comprehensive survey by Sunil Kumar Patel, Satya Bhushan Verma, Bineet Kumar Gupta, Shubham Singh, E. Naresh, Piyush Kumar Pareek

“…With this ground-breaking innovation, it is crucial to have strong authentication and security processes to preserve critical data and shield consumers from any dangers. …”
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A Learning Emotion Recognition Model Based on Feature Fusion of Photoplethysmography and Video Signal by Xiaoliang Zhu, Zili He, Chuanyong Wang, Zhicheng Dai, Liang Zhao

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Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder by Ram Sapkota, Bishal Thapaliya, Bhaskar Ray, Pranav Suresh, Jingyu Liu

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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…Supported by data pipelines and frameworks, the system processes extensive CCTV footage to generate concise video summaries, optimizing the surveillance operations. …”
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Hyperledger Fabric Blockchain for Securing the Edge Internet of Things: A Review by Muhammad Haziq Zulhazmi Hairul Nizam, Muhammad Afiq Ahmad Nizam, Muhammad Hadi Husaini Jummadi, Nik Nor Muhammad Saifudin Nik Mohd Kamal, Ahmad Anwar Zainuddin

“…As for architecture, our proposal divides it into four layers: the application layer, the blockchain platform layer, the cloud storage layer and the IoT device layer, to tackle the problems of security and efficiency of the whole process. To establish the proposed solution, a data literature review has been carried out to collate the analysis and apply the data from the different studies. …”
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The Timing of Global Floods and Its Association With Climate and Topography by Paula Torre Zaffaroni, Germán Baldi, Marcos Texeira, Carlos M. Di Bella, Esteban G. Jobbágy

“…Abstract Until recently, the development of a global geography of floods was challenged by the fragmentation and heterogeneity of in situ data and the high costs of processing large amounts of remote sensing data. …”
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Persistence and Burn-in in Solar Coronal Magnetic Field Simulations by Eric J. Hall, Karen A. Meyer, Anthony R. Yeates

“…A challenge to quantifying simulation burn-in is that the underlying solar processes and data, like many physical phenomena, are non-Markovian and exhibit long memory or persistence and, therefore, their analysis evades standard statistical approaches. …”
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GIS-Based Risk Assessment of Building Vulnerability in Flood Zones of Naic, Cavite, Philippines Using AHP and TOPSIS by Shashi Rani Singh, Ehsan Harirchian, Cris Edward F. Monjardin, Tom Lahmer

“…Floods pose significant challenges globally, particularly in coastal regions like the Philippines, which are vulnerable to typhoons and subsequent inundations. …”
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Advances and Challenges in Cervical Cancer: From Molecular Mechanisms and Global Epidemiology to Innovative Therapies and Prevention Strategies by Raiyan Ul Hakim BSc, Tasbir Amin BSc, S M Bakhtiar Ul Islam PhD

“…New incidence cases and prevalence vary across different regions, as recently shown by GLOBOCAN data. The development of cervical cancer is primarily due to persistent infection by high-risk genotypes of human papillomavirus (HPV), which is a multifaceted process that is influenced by genetic, environmental, and lifestyle factors. …”
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Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

“…Concrete mix design requires specialized knowledge and techniques for characterization. However, this process is time-consuming, and the mechanical properties, such as strength, can vary due to factors like cement type, water content, aggregates, and curing time. …”
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The Impact of Short-Term Formalin Fixation on Weight and Ventricular Dimensions in the Hearts of Cats and Small-to-Medium-Sized Dogs by Izabela Janus-Ziółkowska, Joanna Bubak

“…Organ weight and size are important data collected during post-mortem examination not only in neoplastic diseases but also in other conditions, like cardiomyopathies. …”
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DIGITIZATION OF HISTORICAL ARCHITECTURAL ELEMENTS, A WORKFLOW FOR KNOWLEDGE OF MINOR CENTERS IN INNER AREAS by Francesca Savini, Giovanni Fabbrocino, Adriana Marra

“…<p>The architectural heritage is subject matter of several scholars, whose approach depends upon the cultural and technical background, with the same objective of increasing its comprehension in order to protect and enhance it. A concurrent effort like this points out the need of a common and shared language and method to exchange data and knowledge. …”
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Towards energy-efficient joint relay selection and resource allocation for D2D communication using hybrid heuristic-based deep learning by C. H. Ramesh Babu, S. Nandakumar

“…To address these challenges, this work proposes an efficient relay selection and resource allocation using the novel hybrid manta ray foraging with chef-based optimization (HMRFCO). The relay selection process considers parameters like spectral efficiency, energy efficiency, throughput, delay, and network capacity to attain effectual performance. …”
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Driving sustainable supply chain performance through digital transformation: the role of information exchange and responsiveness by Mohammad Zaid, Rahela Farooqi, Shujaat Naeem Azmi

“…The findings suggest that disruptive technologies like the Internet of Things (IoT), Artificial Intelligence (AI), blockchain, big data, etc., as part of supply chain digitalization, can assist an organization in achieving sustainable supply chain performance. …”
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ENHANCING PORE PRESSURE PREDICTION IN OIL WELL DRILLING: A COMPREHENSIVE STUDY OF WELL PLANNING AND COST-EFFECTIVE MODELING IN THE NIGER DELTA REGION by Kelechi Anthony Ofonagoro, Olawe Alaba Tula, Joachim Osheyor Gidiagba, Tina Chinwe Ndiwe

“…Additionally, the developed descriptive model is a valuable tool for quick look pore pressure estimation, ensuring operational efficiency when data parameters for traditional methods like Eaton’s are lacking. …”
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A STUDY OF THE INFLUENCE OF EXTRACELLULAR VESICLES ON THE MORPHOFUNCTIONAL STATE OF THE ENDOMETRIUM IN VITRO by Оксана Александровна Мелкозерова, Ирина Викторовна Крутинь, Александра Юрьевна Храмцова, Мария Валерьевна Улитко, Алсу Фармутовна Мустафина

“…After adding vesicles, the growth dynamics of the endometrial culture is not disturbed, the cells retain their natural morphology: stellate stromal cells with processes and small round epithelial-like cells are found. …”
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Use of Mnemonics as Teaching and Learning Adjuvant for Ayurveda Undergraduate Students: A Research Protocol by Preeti Sujit Borkar, Bharat Rathi, Monika Luharia, Rushikesh Thakre

“…Introduction: Teaching and learning techniques like mnemonics are beneficial for enhancing recall memory. …”
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Identification of Th1-polarized Th17 cells: solving the problem by E. M. Kuklina, N. S. Glebezdina

“…Such “underestimation” of the ex-Th17 subpopulation significantly marks down the results, since it is ex-Th17 that accounts for the bulk of Th1-like Th17. And only a simultaneous assessment of the co-expression of cytokines and Th17-associated membrane molecules allows identification Th17.1 and exTh17 cells separately, which is important to consider when interpreting data on the problem and when planning clinical trials.…”
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River baseflow in supplying reservoirs inflows of Tehran metropolis: A machine learning modeling based on influencing factors by Bahareh Hossein-Panahi, Sara Mohandes Samani, Amir-Reza Sadeghi, Mahsa Shahi, Seiyed Mossa Hosseini, Esmaeel Parizi

“…Accordingly, daily streamflow data were processed using this method to separate baseflow and were aggregated monthly. …”
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Amortization expenses' influence on financial position of the company by Mijailović Snežana, Ilić Đorđe, Marić Aleksandar

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