Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures by Rohtash Dhiman, A Anshul

“…The human machine interface research in the light of modern fast computers and advanced sensors is taking new heights. …”
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Universal Neutral-Atom Quantum Computer with Individual Optical Addressing and Nondestructive Readout by A.G. Radnaev, W.C. Chung, D.C. Cole, D. Mason, T.G. Ballance, M.J. Bedalov, D.A. Belknap, M.R. Berman, M. Blakely, I.L. Bloomfield, P.D. Buttler, C. Campbell, A. Chopinaud, E. Copenhaver, M.K. Dawes, S.Y. Eubanks, A.J. Friss, D.M. Garcia, J. Gilbert, M. Gillette, P. Goiporia, P. Gokhale, J. Goldwin, D. Goodwin, T.M. Graham, C.J. Guttormsson, G.T. Hickman, L. Hurtley, M. Iliev, E.B. Jones, R.A. Jones, K.W. Kuper, T.B. Lewis, M.T. Lichtman, F. Majdeteimouri, J.J. Mason, J.K. McMaster, J.A. Miles, P.T. Mitchell, J.D. Murphree, N.A. Neff-Mallon, T. Oh, V. Omole, C. Parlo Simon, N. Pederson, M.A. Perlin, A. Reiter, R. Rines, P. Romlow, A.M. Scott, D. Stiefvater, J.R. Tanner, A.K. Tucker, I.V. Vinogradov, M.L. Warter, M. Yeo, M. Saffman, T.W. Noel

“…Quantum computers must achieve large-scale fault-tolerant operation to deliver on their promise of transformational processing power. …”
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A non-invasive computer-aided personalized diagnosis system for Osteopenia and Osteoporosis by Hadeel Osama El-Sisi, Fatma El-Zahraa Ahmed El-Gamal, Noha Ahmed Hikal

“…Methods:: For this purpose, this paper presents a non-invasive computer aided diagnosis system for disease’s screening using knee X-ray scans in its two basic stages (i.e., Osteopenia and Osteoporosis). …”
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A new index‐based hyper‐heuristic algorithm for global optimisation problems by Mohammad Reza Hasanzadeh, Farshid Keynia, Maliheh Hashemipour

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Optimal Economic Dispatch and Load-Following Strategies for Nuclear Integrated Energy Systems by Athanasios Ioannis Arvanitidis, Miltiadis Alamaniotis

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Automation facilities for agricultural machinery control by A. Yu. Izmaylov, V. K. Khoroshenkov, V. A. Kolesnikova, I. S. Alekseev, S. E. Lonin, N. T. Goncharov

“…The negative feedback created by the control unit allows to support automatically a quality index of technological process at the set level. The quantitative analysis of a production situation base itself upon deeply formalized basis of computer facilities that promotes making of the optimal solution. …”
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Enhancing Extreme Programming (XP) Adoption Through SAMAM: A Scalable Agile Maturity Assessment Model Based on Industry Best Practices by Muhammad Faisal Abrar, Ali Alferaidi, Tariq S. Almurayziq, Muhammad Saqib, Wilayat Khan, Zawar Khan, Mohammad Alsaffar

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An automated deep learning framework for brain tumor classification using MRI imagery by Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro, Jameel Ahmed Bhutto, Zhonglin He

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Staff Hiring and Reassignment Based on Resource-Constrained Project Scheduling by Giannis Savva, Konstantinos Manousakis, Georgios Ellinas

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Estimation of the systematic error constituents in the calculations of the critical systems by the Monte Carlo method by V. V. Galchenko, V. I. Makodym

“…Analysis of factors which influence on systematic error formation in the calculations of the critical systems by the Monte Carlo method for the MCNP and SCALE computer codes is executed. It has been shown that non-linearity of iteration process of calculation and uncertainty in initial neutron sources distributing effect on a systematic error. …”
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Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency by Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S. Vairagade, Balram Yelamasetti, Sagar D. Shelare, Shubham Sharma, Abinash Mahapatro, V.K. Bupesh Raja, Quadri Noorulhasan Naveed, Naoufel Kraiem, Saiful Islam, Jasmina Lozanovic

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OCAFI: observation centric appearance free interpolation technique for multi-object tracking by Shavantrevva Bilakeri, Karunakar A. Kotegar

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Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution by Ruize Xu, Jiahua Zhang, Fang Chen, Bo Yu, Shawkat Ali, Hidayat Ullah, Ali Salem Al-Sakkaf

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New approaches of the Next-gen collaborative design platform by Vlachodimos Georgios

“… The architecture design process always changes because the software always updates with new tools and the development - innovation is in the first line of progress. …”
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Designing a Decision Making Model to Measure Scientific Research Essays of Management by Ahmad Jafarnejad, Amir Hossein Rahbar, Saeed Moghadaspoor, Mahmood Vahedimoghadam

“…Then by cooperation of 17 faculty members and by using the Analytic Hierarchy Process, the criteria were scored. The outcome of this stage is to provide a comprehensive and rhythmic judging form. …”
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Editorial: Emerging trends and advancements of geoinformatics applications in earth and environmental systems by Venkata Ravibabu Mandla, Xuan Zhu, Anuj Tiwari, Mohammad Shoab

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Analysis of heterogeneous two server queueing system with multiple working vacations and server breakdowns by Karthick V., Suvitha V.

“…WAMF employs parameters describing the behavioral patterns when decision-makers encounter situations involving risk. Then, the ranking process can be continued with the calculation of the centroid point of the resulting GFN. …”
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Ultrasound diagnosis of iliac lymph node metastases in cancer of the cervix uteri by Ye. V. Barinova, M. A. Chekalova, Ye. K. Dvorova

“…Our findings were statistically processed. According to our findings, ultrasound computed tomography is a highly informative method to diagnose retroperitoneal lymph node (LN) metastases, which defines the shape, sizes, structure, location, and number of metastatic LNs. …”
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Prioritization of the Critical Factors of Hydrogen Transportation in Canada Using the Intuitionistic Fuzzy AHP Method by Monasib Romel, Golam Kabir

“…This study develops a multi-criteria decision-making (MCDM) framework based on the intuitionistic fuzzy analytic hierarchy process (IF-AHP) to evaluate land-based hydrogen transportation alternatives across Canada. …”
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Thermal history-driven void formation in silicon crystals: A discrete model approach by Amir Reza Ansari Dezfoli

“…As the growth rate rises to achieve more substantial production rates in silicon crystal growth through the Czochralski (CZ) process, vacancy agglomeration leading to void defect formation becomes particularly notable due to the elevated ratio of growth rate to thermal gradient (V/G). …”
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