Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

“…The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …”

Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems by Sadjadi, Hossein

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Periodic Route Optimization for Handed-off Connections in Wireless ATM Networks by Salah, Khaled

“…A simulation model is developed to study system performance. The adaptive route optimization is shown to minimize signaling and processing load while maximizing utilization of reserved resources.…”
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Photovoltaic Facades: Key to the Concept of Zero Energy Buildings by KAMPADAM, MATHEW GEORGE

“…To achieve the aim of this concept, building envelope’s, facades are the ultimate potential key in an envelope which will lead to minimum energy consumption and also energy production with the help of photovoltaic facades Building-integrated Photovoltaic facades are an important solution proposal. However, its implementation is accompanied by significant challenges in terms of the complexity of processes and technologies involved and the adaptability of these solutions to different geographical areas with particular climatic conditions. …”
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Prescription errors with chemotherapy by Saad, Aline

“…Implementation: The COTs were implemented, using Kotter’s 8-step model for leading change, by engaging health care providers, and identifying and removing barriers. …”
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A Finite Element Approach of Thin Film Lubrication in Circular EHD Contacts by Habchi, Wassim

“…The use of the finite element method (FEM) offers two advantages: first, the existence of high level ready-to-use Finite Element commercial software which reduces the time spent in implementing the method and second, the easier adaptability to different and various physical models such as lubricant rheology, starvation effects, thermal effects, non-Newtonian behaviour, etc. …”
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A design thinking-based Framework for effective business excellence outcomes in the public sector by ALMOMANY, GEBREEL AHMAD

“…However, most scholarly published research is limited to the application of excellence models in the private sector, because most excellence models are only adapted to fit the context of the public sector organizations. …”
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MSLP: mRNA subcellular localization predictor based on machine learning techniques by Saleh Musleh (15279190)

“…</p><h3>Availability</h3><p dir="ltr">We have implemented a Docker container and API for end users to run their sequences on our model. …”

Pilot-scale evaluation of forward osmosis membranes for volume reduction of industrial wastewater by Joel Minier-Matar (17052378)

“…Osmotic concentration (OC) is an advanced water treatment process, adapted from forward osmosis (FO), that does not require water recovery from the draw solution. …”

The value for money factors and their interrelationships for smart city public–private partnerships projects by Almarri, Khalid

“…Originality/value In addition to the theoretical and methodological contributions, this study produced a usable and readily adaptable list and clusters of value for money factors for the implementation of PPP in smart infrastructure projects.…”
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Improving INS/GPS Integration for Mobile Robotics Applications by AbuHashim, Tariq Salman

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Leadership styles and AI acceptance in academic libraries in higher education by Tarek, Shal

“…Correlational analysis, inferential statistics including structural equation model, and regression analysis were employed leading to explore the predictive power of various leadership styles on librarians' openness to AI. …”
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Recent advances on artificial intelligence and learning techniques in cognitive radio networks by Abbas, Nadine

“…This paper also discusses the cognitive radio implementation and the learning challenges foreseen in cognitive radio applications.…”
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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

“…Four key evolutionary trends emerge: (1) transition from 2D to 3D architectures optimized for ultrastructural complexity; (2) development of topology-preserving loss functions and evaluation metrics (clDice, ERL) that prioritize neural connectivity over pixel-wise accuracy; (3) emergence of self-supervised and foundation model adaptation techniques reducing annotation dependency; and (4) evolution toward specialized architectures capturing long-range dependencies critical for neural structures. …”

The Influence of Transformational and Transactional Leadership on Employee Performance and Organizational Commitment A Case Study in the UAE Public Sector by Abdalla, Hani Gawdat

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Critical success factors for public–private partnerships in smart city infrastructure projects by Almarri, Khalid

“…In addition to the theoretical and methodological contributions, this study produced a usable and readily adaptable list and clusters of critical success factors for research in the area of the implementation of PPP in smart city infrastructure projects. …”
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Leadership styles and AI acceptance in academic libraries in higher education by Tarek Shal (17773482)

“…Correlational analysis,<u> inferential statistics</u> including structural equation model, and <u>regression analysis</u> were employed leading to explore the predictive power of various leadership styles on librarians' openness to AI. …”

Mobile Robot Trajectory Tracking Using Neural Networks by Mohareri, Omid

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Cybersecurity and the State: Comparing Centralized and Decentralized Political Systems in Cyber Defense Resilience by Jaber, Aida

“…The findings reveal that while centralized systems facilitate streamlined decision-making and enable coordinated national policies, these advantages do not guarantee effective implementation or adaptive crisis response. This is often due to limited transparency, rigid structures, and a lack of institutional flexibility. …”
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Potential for native hydrocarbon-degrading bacteria to remediate highly weathered oil-polluted soils in Qatar through self-purification and bioaugmentation in biopiles by Nasser AlKaabi (17075284)

“…The results clearly showed the harsh chemical compositions (high salinity and contents of total petroleum components contents in the range of the oil organics). By implementation of a procedure of isolation of highly adapted bacteria, few hydrocarbon-degrading bacteria were isolated in the objective of selecting those for further application. …”