A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

“…<p>The energy internet (EI) is evolving toward decentralized, data-rich, and time-critical operation, where legacy optimization often fails to meet complexity, scalability, and real-time constraints. …”

Conceptual Design and Analysis of Concentrated Photovoltaic Thermal (CPVT) Solar Collectors with Different Configurations by Sharaf, Omar Z.

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Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

“…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …”
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Scatter search for homology modeling by Mansour, Nashat

“…Results obtained by our SS algorithm are compared with other approaches. The 3D models predicted by our algorithm show improved root mean standard deviations with respect to the native structures.…”
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Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids by Shaaban, Mostafa

“…The planning problem jointly allocates and sizes a set of distributed generators (DGs) along with the EV charging stations to balance the supply with the total demand of regular loads and EV charging. The planning algorithm specifies optimal locations and sizes of the EV charging stations and DG units that minimize two conflicting objectives: (a) deployment and operation costs and (b) associated green house gas emissions, while satisfying the microgrid technical constraints. …”
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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

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A method for data path synthesis using neural networks by Harmanani, H.

“…A sequential simulator was implemented for the proposed algorithm on a Linux Pentium PC under X Windows. Several circuits hare been attempted, all yielding sub-optimal solutions.…”
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Minimizing Mean Tardiness Subject To Unspecified Minimum Number Tardy For A Single Machine by Duffuaa, S. O.

“…It also uses an insertion algorithm which determines the optimal mean tardiness once the subset of tardy jobs is specified. …”
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LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

“…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”

One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy by Duffuaa, S. O.

“…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. It is proved that the schedule generated by the proposed algorithm is indeed optimal.…”
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KT2C. (c2014) by Al Kawam, Ahmad

“…We introduce the K-way Thermal Chip Clustering (KT2C) algorithm; a VLSI chip partitioning algorithm that is used to reduce the chip’s temperature and prevent the formation of hotspots. …”
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One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy by Duffuaa, S. O.

“…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. It is proved that the schedule generated by the proposed algorithm is indeed optimal.…”
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Determining Dominant Wind Directions by Selim, S.Z.

“…Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. …”
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Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility by Islambouli, Rania

“…The simulation results demonstrate the effectiveness of the proposed algorithm compared to the optimal solution and related work in the literature for various network scenarios with user mobility.…”
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How much is location information worth? by Srour, F. Jordan

“…In this paper we derive the worst-case ratio of an online algorithm for the Traveling Salesman Problem (TSP) with two disclosure dates. …”
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Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem by Tao Li (86810)

“…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …”

Autonomous Demand-Side Management in the Future Smart Grid by Assaf, Tasneem Mohammad

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Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

“…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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Timing driven genetic placement by Sait, Sadiq M.

“…At early generations, the search is biased toward solutions with superior timing characteristics. As the algorithm starts converging towards generations with acceptable delay properties, the objective is dynamically adjusted toward optimizing area and routability. …”
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Seasonal variations in feed-water chemistry and fouling dynamics of reverse-osmosis systems: A global climate lens by Nasser Zareei (22921226)

“…Future installations should align membrane materials, pretreatment systems, and control algorithms with site-specific hydrological calendars.…”