MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…This paper introduces an innovative method for disease prediction utilizing deep learning, particularly focusing on an ensemblebased multi-disease prediction model. …”
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Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

“…Moreover, a common subspace is computed among all views where the contribution of each view to the common subspace is optimized. The proposed method is applied to several real-world data sets and the results show that the proposed method achieves the best performance compared to other state-of-the-art algorithms.…”
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Soft-switching predictive Type-3 fuzzy control for microgrid energy management by Walid Ayadi, Jafar Tavoosi, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh

“…The study’s findings demonstrate that, in addition to lowering energy expenses in large commercial buildings, the suggested strategy optimizes the use of renewable energy sources and storage capacity in a range of network scenarios. …”
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Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…The objective is to minimize travel distances for older adults while accounting for constraints such as mobility limitations and the existing distribution of senior centers. The elbow method is employed to identify the optimal number of new centers, balancing service accessibility and resource allocation. …”
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Research on the Operation Optimisation of Integrated Energy System Based on Multiple Thermal Inertia by Huiqiang Zhi, Min Zhang, Xiao Chang, Rui Fan, Huipeng Li, Le Gao, Jinge Song

“…Addressing the problem that energy supply and load demand cannot be matched due to the difference in inertia effects among multiple energy sources, and taking into account the thermoelectric load, this paper designs a two-stage operation optimization model of IES considering multi-dimensional thermal inertia and constructs an intelligent adaptive solution method based on a time scale-model base. …”
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Track Alignment and Construction Method Comparison for Adding Stations to Long Metro Intervals in Loess Strata during Preliminary Design Stage by ZHOU Dingheng, ZHU Zhenlie, GAO Shengmiao, HOU Chunshan, LIU Jian, ZOU Yongxiang

“…[Objective] To optimize the track-station alignment and construction methods for adding metro stations to long metro intervals in loess strata, a comparative study on economic efficiency and safety is required. …”
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An Efficient Energy Management and Control Strategy for a Hybrid Microgrid System by Aymen Kadhim Mohaisen

“…This paper uses the linear programming optimization (LPO) method as an energy management system (EMS) to manage the energy and power sharing between the MG components, which are solar photovoltaic (PV), battery energy storage system (BESS), and load. …”
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THERMOELECTRIC DEVICE FOR TREATMENT PANARIATION by V. I. Dvorjanchikov, D. A. Magomedov, K. A. Magomedova, I. Sh. Mispahov

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Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data. by Ciarrah Barry, Junxi Liu, Rebecca Richmond, Martin K Rutter, Deborah A Lawlor, Frank Dudbridge, Jack Bowden

“…In this paper we describe a general procedure for optimally applying any two sample summary data method using one sample data. …”
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Low carbohydrate diets, glycaemic control, enablers, and barriers in the management of type 1 diabetes: a mixed methods systematic review by Janine Paul, Rati Jani, Sarah Thorning, Mila Obucina, Peter Davoren, Catherine Knight-Agarwal

“…Methods Seven databases (MEDLINE, Embase, CINAHL, Cochrane CENTRAL, Informit Health Collection, Web of Science, and PsycInfo) were searched from inception to 1 October 2023. …”
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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

“…The hyper-parameters of the models are adjusted using the Bayesian Optimization (BO) method. The performance of monthly hydroelectric power prediction models is assessed using metrics such as correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE). …”
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Climate-resilient energy systems planning via system-informed identification of stressful events by Francesco De Marco, Jacob Mannhardt, Alfredo Oneto, Giovanni Sansavini

“…As the energy mix increasingly relies on weather-dependent renewable sources, energy systems become more vulnerable to climate variability and extremes. …”
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Quantifying key economic uncertainties in the cost of trading green hydrogen by Cameron Aldren, Nilay Shah, Adam Hawkes

“…To this end, this article presents a detailed process systems-based economic analysis of a typical hydrogen value chain in 2050, employing the method of elementary effects to quantify the effect of uncertainties. …”
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Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

“…The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. …”
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Identifying optimal primary prevention interventions for major cardiovascular disease events and all-cause mortality: a systematic review and hierarchical network meta-analysis of... by Olalekan A Uthman, Rachel Court, Jodie Enderby, Chidozie Nduka, Lena Al-Khudairy, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

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Optimal Sizing, Techno-Economic Feasibility and Reliability Analysis of Hybrid Renewable Energy System: A Systematic Review of Energy Storage Systems’ Integration by Akhlaque Ahmad Khan, Ahmad Faiz Minai, Rakesh Kumar Godi, Vijay Shankar Sharma, Hasmat Malik, Asyraf Afthanorhan

“…Findings emphasize the need for further study of optimization methods, meta-heuristic algorithm strategies, system components, design constraints, and desired techniques.…”
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New anchovy burgers: a sustainable and nutritious alternative to red meat in fast food by Giovanni Luca Russo, Antonio L. Langellotti, Rossella Di Monaco, Gabriele Buonocunto, Francesca Colonna, Nunzio Velleca, Anna Ilaria Di Paola, Lucia Avella, Silvana Cavella, Paolo Masi

“…Abstract This study presents an innovative anchovy burger formulation optimized using response surface methodology and Ideal Profile method. …”
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Optimum Conditions for Pyomelanin Production and Characterization from Local Isolates of Pseudomonas aeruginosa by Naz Fuad H. Khorshid, Nisreen Hadi Odaa

“…Materials and Methods: P. aeruginosa was isolated from various clinical sources, including urinary tract infections, burn patients, and wound infections. …”
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Techno‐Economic Comparison of Battery–Flywheel With Battery–Hydrogen Storage System in the Vicinity of Off‐Grid HRES for Four Climates: MCDM Method by Alireza Ahmadi, Ahmad Hajinezhad, Reza Fattahi, Seyed Farhan Moosavian

“…This study examines four climatic regions in Iran, evaluating the selection between two storage systems, battery‐hydrogen and battery–flywheel, through simulation and two‐stage optimization. HOMER PRO software was utilized for both simulation and optimization, while the method based on the removal effects of criteria (MEREC) was employed for criteria weighting in decision‐making, in conjunction with the technique for order of preference by similarity to ideal solution (TOPSIS) method. …”
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On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2... by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

“…Lastly, an evolutionary optimization method is applied to democratize multi-objective process characteristics’ learnings to facilitate machinists and users within manufacturing community. …”
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