Evaluation of 3D-CRT Treatment Planning Techniques for Breast Cancer by Riyadh S. Agid, Fatiheea F. Hassan

“… This study compares the collapsed cone (CC) and Monte Carlo (MC) algorithms for radiation treatment planning for lumpectomy of the chest wall. …”
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Analysis of Parameterized Quantum Circuits: On the Connection Between Expressibility and Types of Quantum Gates by Yu Liu, Kazuya Kaneko, Kentaro Baba, Jumpei Koyama, Koichi Kimura, Naoyuki Takeda

“…While much research has explored the relationship between expressibility and learning performance, as well as the number of layers in PQCs, the connection between expressibility and PQC structure has received comparatively less attention. …”
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Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis by Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, Sun Yong Kim

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Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

“…A single camera monitors multiple parking slots, with predefined coordinates linked to IR sensors for dual verification. Image processing algorithms, including Optical Character Recognition (OCR), enable accurate license plate recognition. …”
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Learning-based control for tendon-driven continuum robotic arms by Nima Maghooli, Omid Mahdizadeh, Mohammad Bajelani, S. Ali A. Moosavian

“…The proposed method employs a customized Modified Transpose Jacobian control strategy for continuum arms, where its parameters are optimally tuned using the Deep Deterministic Policy Gradient algorithm. By integrating an optimal adaptive gain-tuning regulation, the research aims to develop a model-free controller that achieves superior performance compared to ideal model-based strategies. …”
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Addressing uncertainty in identifying pregnancies in the English CPRD GOLD Pregnancy Register: a methodological study using a worked example by Yangmei Li, Jennifer J Kurinczuk, Fiona Alderdice, Maria A Quigley, Oliver Rivero-Arias, Julia Sanders, Sara Kenyon, Dimitrios Siassakos, Nikesh Parekh, Suresha De Almeida, Claire Carson

“…The Clinical Practice Research Datalink (CPRD) Pregnancy Register (PR) identifies pregnancies in primary care records, including uncertain cases. …”
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A hybrid PKI and spiking neural network approach for enhancing security and energy efficiency in IoMT-based healthcare 5.0 by Dipalee D․Rane Chaudhari, Manisha S. Bhende, Aadam Quraishi, Azzah AlGhamdi, Ismail Keshta, Mukesh Soni, Brajesh Kumar Singh, Haewon Byeon, Mohammad Shabaz

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Offensive Language Detection in Turkish Language by Using NLP by Rüştü Murat Demirer, Bekir Furkan Kesgin

“…On the other hand, LSTM demonstrates a competitive AUC score of 0.78 when compared to the Random Forest Classifier. These findings provide insights into the effectiveness of different algorithms for offensive language detection. …”
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An improved MP-NMO correction method based on multiparameter fitting and its application by Xiaohui YANG, Pengfei YU, Jiawei ZHANG

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LULC-SegNet: Enhancing Land Use and Land Cover Semantic Segmentation with Denoising Diffusion Feature Fusion by Zongwen Shi, Junfu Fan, Yujie Du, Yuke Zhou, Yi Zhang

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An integrated optimization model of network behavior victimization identification based on association rule feature extraction by Shengli ZHOU, Linqi RUAN, Rui XU, Xikang ZHANG, Quanzhe ZHAO, Yuanbo LIAN

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Processing morphological variants in searches of Latin text by Mark Greengrass, Alexander M. Robertson, Robyn Schinke, Peter Willett

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Global MPPT optimization for partially shaded photovoltaic systems by T. Nagadurga, V. Dhana Raju, Abdulwasa Bakr Barnawi, Javed Khan Bhutto, Abdul Razak, Anteneh Wogasso Wodajo

“…From the simulation results, it was found that ChOA have shown higher conversion efficiency of 99.63% with maximum power output of 525.13 W when compared to other optimization algorithms for the given shading pattern condition. …”
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A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation by Hassan Al Garni, Arunachalam Sundaram, Anjali Awasthi, Rahul Chandel, Salwan Tajjour, Shyam Singh Chandel

“…The study shows that standard testing and evaluation procedures can be further developed for comparing metaheuristic algorithms and their hybrid variants for developing advanced maximum power point tracking controllers. …”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

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Enhancing fever of unknown origin diagnosis: machine learning approaches to predict metagenomic next-generation sequencing positivity by Zhi Gao, Zhi Gao, Zhi Gao, Yongfang Jiang, Yongfang Jiang, Yongfang Jiang, Mengxuan Chen, Mengxuan Chen, Mengxuan Chen, Weihang Wang, Weihang Wang, Weihang Wang, Qiyao Liu, Qiyao Liu, Qiyao Liu, Jing Ma, Jing Ma, Jing Ma

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Harnessing the sun: Framework for development and performance evaluation of AI-driven solar tracker for optimal energy harvesting by A M Almas Shahriyar Azad, Khaled Mohammad Shifullah Bhuiya, Sumaiya Rashid Shoshi, Jubayer Rahman Jamal, Sabbir Ahmed Udoy, Sadman Zilani, Abdullah Hawlather, Mehedi Hasan, Tabassum Roaidah Azad

“…This research explores advanced methodologies to enhance the performance and efficiency of solar tracking systems by developing the Solar Tracking and Analysis Research (S.T.A.R.) framework. …”
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A blood-based screening tool for Alzheimer's disease that spans serum and plasma: findings from TARC and ADNI. by Sid E O'Bryant, Guanghua Xiao, Robert Barber, Ryan Huebinger, Kirk Wilhelmsen, Melissa Edwards, Neill Graff-Radford, Rachelle Doody, Ramon Diaz-Arrastia, Texas Alzheimer's Research & Care Consortium, Alzheimer's Disease Neuroimaging Initiative

“…<h4>Conclusions</h4>It is possible to create a blood-based screening algorithm that works across both serum and plasma that provides a comparable screening accuracy to that obtained from CSF analyses.…”
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Using Artificial Intelligence Techniques For Intrusion Detection System by Manar Ahmed, Bayda Khaleel

“…Finally, in this research comparisons are made between the results obtained from the application of these algorithms on this dataset and the FCPN is the best approach that is implemented into Laptop where, CPU 2.27GH and RAM are 2.00 GB.…”
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Using modern clustering techniques for parametric fault diagnostics of turbofan engines by I. J. Buraimah

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