Scrambled Prime Key Encryption حسب Haraty, Ramzi A.

"…To enhance data security different cryptographic algorithms are used. …"
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Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology حسب Ajay Vikram Singh (204056)

"…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…This method offers precise endotoxin classification and holds significant potential for expedited medical diagnoses and therapeutic decision-making in cases of pathogenic infections. ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions حسب Yinsong Chen (16685508)

"…These impractical predictions would compromise the scheduling and control decisions made based on them. …"

Efficient utilization of scalable multipliers in parallel to compute GF(p) elliptic curve cryptographic operations حسب Gutub, Adnan

"…This paper presents the design and implementation of an elliptic curve cryptographic core to realize point scalar multiplication operations used for the GF(p) elliptic curve encryption/decryption and the elliptic curve digital signature algorithm (ECDSA). The design makes use of projective coordinates together with scalable Montgomery multipliers for data size of up to 256-bits. …"
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A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

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A hybrid approach for XML similarity حسب Tekli, Joe

"…Various algorithms for comparing hierarchically structured data, e.g. …"
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Applications of fast fourier transform in the integrity evaluation of deep foundations حسب Abi Shdid, Caesar

"…The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …"
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

"…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …"
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Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

"…Performance evaluation of the proposed methods and comparisons with existing methods are made by means of Monte-Carlo simulations, experimental data and analysis. The first scheme makes use of the complex cepstrum of the third-order cumulants (complex bicepstrum) of the ultrasonic signals. …"
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Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

"…<p>Human behavior significantly impacts domestic energy consumption, making it essential to monitor and improve these consumption patterns. …"

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

"…Deep reinforcement learning (DRL) offers a data-driven alternative that couples perception with sequential decision-making. …"

A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

"…For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"

A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

"…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"

Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

"…This approach uses other students’ grades to make a prediction. This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …"
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On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone حسب Saeed Ullah Jan (9079260)

"…Both GPS and UAVN/FANET use open network channels for data broadcasting, which are exposed to several threats, thus making security risky and challenging. …"

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives حسب Yassine Himeur (14158821)

"…<p dir="ltr">Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. …"

Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care حسب Barry Solaiman (19160614)

"…Second, how discrimination and bias in algorithmic decision-making can undermine Medicare coverage for PA-LTC, causing doctors' recommendations to be ignored and denying residents the care they are entitled to. …"

Artificial intelligence models for predicting the mode of delivery in maternal care حسب Rawan AlSaad (14159019)

"…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"