Ultra-Low Energy CNFET-Based Ternary Combinational Circuits Designs حسب Ramzi A. Jaber (16888755)

"…The target of this work is to decrease energy consumption by (1) using Multiple-valued logic (MVL) that shows notable enhancements regarding energy consumption over binary circuits and (2) using carbon nanotube field-effect transistors (CNFET) that show better performance than CMOS. …"

A Novel Technique for Detecting Underground Water Pipeline Leakage Using the Internet of Things حسب Ahmad Abusukhon (19418644)

"…This expense can be significantly decreased using an effective early water leak detection system. …"

Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System حسب Fahmida Haque (16896489)

"…<p dir="ltr">Diabetic sensorimotor polyneuropathy (DSPN) is an early indicator for non-healing diabetic wounds and diabetic foot ulcers, which account for one of the most common complications of diabetes, leading to increased healthcare cost, decreased quality of life, infections, amputations, and death. …"

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health حسب Belqes Alsadi (18695031)

"…We believe Dapagliflozin prescriptions in Qatar were associated with decreased Gamma Glutamyltransferase and Aspartate Aminotransferase enzyme levels, confirming prior research. …"

Blockchain, climate damage, and death: Policy interventions to reduce the carbon emissions, mortality, and net-zero implications of non-fungible tokens and Bitcoin حسب Jon Truby (14153022)

"…</p><p dir="ltr">Nonetheless, many popular types of blockchain have resisted the pressure to decrease their environmental impact, including Bitcoin, whose attributed 2021 annual emissions will produce emissions responsible for around 19,000 future deaths. …"

A decision support system for automating document retrieval and citation screening حسب Raymon van Dinter (10521952)

"…The proposed DSS is effective and can substantially decrease the document retrieval and citation screening steps' workload and error rate.…"

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study حسب Muhammad Atif Butt (10849980)

"…We find that input quantization partially degrades the efficacy of adversarial and backdoor attacks at the cost of a slight decrease in accuracy over clean inputs. By analyzing the explanations generated by SHAP, we identify that the decision of a FER model is largely influenced by features such as eyes, alar crease, lips, and jaws. …"

Application of Enhanced Self-Adaptive Virtual Inertia Control for Efficient Frequency Control of Renewable Energy-Based Microgrid System Integrated with Electric Vehicles حسب Sonalika Mishra (22393114)

"…It is noticed that with the SAEVIC approach, the overshoot (OS)-11.40%, undershoot (US)- 46.46%, settling time (ST)-98.6% and fitness value-10.27% are decreased as compared to conventional enhanced VI approach under Stochastic variations of wind, PV, and multi-step load disturbance of MG system.…"

Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm حسب Ali S. Alghamdi (17541711)

"…Additionally, the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995% as compared to deterministic planning.…"

Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI حسب Tasneem Alshamaseen (22392382)

"…However, outdated channel state information (CSI) poses a major challenge to RIS’s physical layer security gains. …"

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm حسب Prabu Selvam (22330264)

"…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. These findings highlight a notable enhancement in both accuracy and model efficiency in detecting tiny defects in the PCB board.…"

Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking حسب Ahmet Faruk Aysan (11902115)

"…Concerns related to terrorism financing and cybersecurity risks have also decreased due to the better enforcement of anti-money laundering regulations and investments in cybersecurity infrastructure and education. …"

Does a Smile Matter if the Person Is Not Real?: The Effect of a Smile and Stock Photos on Persona Perceptions حسب Joni Salminen (7434770)

"…In contrast, the use of stock photos decreases the perceived similarity with the persona as well as persona credibility, both of which are significant predictors to a willingness to use a persona. …"

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks حسب Abdul Qadeer Khan (22502168)

"…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …"

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach حسب Abdul Basit Mughal (22929001)

"…The parameters of the fine-tuned YOLOv11 decreased by 30% relative to the previous version, resulting in a very small model size of 5.5 MB and reduced processing time. …"

Novel Ternary Adder and Multiplier Designs Without Using Decoders or Encoders حسب Jihad Mohamed Aljaam (16864257)

"…Extensive simulations (over 160) of the proposed designs in terms of PVT (Process, Voltage, Temperature) variations, noise effect, and scalability studies, along with several benchmark designs using HSPICE simulator, prove the significance of the proposed circuits to decrease the power-delay product (PDP), improve the robustness to process variations, and the noise tolerance. …"

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults حسب Mohamed Massaoudi (16888710)

"…To avoid the constant adjustment of hyperparameters, the FLACON employs an inductive transfer learning approach for hyperparameter tuning of the pre-trained model, markedly decreasing training time. Extensive experiments on datasets from the IEEE 39-bus system and the IEEE 68-bus system demonstrate FLACON's exceptional accuracy of 98.98% compared to some competitive alternatives.…"

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

"…As the imperfection increases by ten times, the rate decreases by more than 10%.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2022.3165590" target="_blank">https://dx.doi.org/10.1109/ojcoms.2022.3165590</a></p>…"

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers حسب Mostafa Shibl (18810412)

"…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …"

Assessment Tools for Pulmonary Involvement in Patients with Ankylosing Spondylitis: Is Diaphragmatic Ultrasonography Correlated to Spirometry? حسب Rim Dhahri (21406871)

"…The left inspiratory diaphragmatic thickness was correlated with the percentage of the FVC decrease (r= 0.35; <i>p</i> = 0.01) defined as the percentage of difference between FVC and supine FVC. …"