Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE حسب Mathew, Elezabeth

"…The novel LSTM time series algorithm proved to work best for demand forecasting. …"
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Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

"…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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Energy-aware adaptive compression for mobile devices. (c2009) حسب Maddah, Rakan

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Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System حسب Abu Zitar, Raed

"…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …"
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Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity حسب Maryam Shahriari-kahkeshi (17269051)

On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

"…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"

From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors حسب Michael R. Giordano (9976173)

"…Unfortunately, low-cost PM sensors also come with a number of challenges that must be addressed if their data products are to be used for anything more than a qualitative characterization of air quality. …"

Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

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Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

"…The problem is solved using genetic algorithms that search within the feasible solution space. …"
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Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges حسب Sk Injamamul Islam (14111241)

"…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …"

Tracking and repairing damaged healthcare databases using the matrix حسب Haraty, Ramzi A.

"…The algorithm is based on data dependency and uses a single matrix. …"
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Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach حسب S. Punitha (17945654)

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations حسب Shameem A. Puthiya Parambath (14150997)

"…The best available recommendation algorithms are based on using the observed preference information among collaborating entities. …"

Synthesis with VHDL. (c2001) حسب Halawi, Hatem

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Diagnosing failed distribution transformers using neural networks حسب Farag, A.S.

"…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …"
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Transmission Line Fault Location Using Unsynchronized Measurements حسب Hussain, Shoaib

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Plant disease detection using drones in precision agriculture حسب Ruben Chin (17725986)

"…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …"

Building power consumption datasets: Survey, taxonomy and future directions حسب Yassine Himeur (14158821)

"…Furthermore, data collection platforms and related modules for data transmission, data storage and privacy concerns used in different datasets are also analyzed and compared. …"

Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

"…As the approximation coefficients represent a smooth low-resolution version of the input data they are only quantized using a uniform scalar quantizer (USQ). …"
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DAP: A dataset-agnostic predictor of neural network performance حسب Sui Paul Ang (18460605)