Evaluation of transfer functions for punctured turbo codes حسب Mugaibel, A.H.

"…A modified algorithm for evaluating transfer functions of turbo codes with punctured systematic bits is presented. …"
احصل على النص الكامل
احصل على النص الكامل

Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces حسب Uzair Sajjad (19646296)

"…<p dir="ltr">The boiling heat transfer performance of porous surfaces greatly depends on the morphological parameters, liquid thermophysical properties, and pool boiling conditions. …"

Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm حسب El-Kassar, A. N.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"

Impact of fuzzy volume fraction on unsteady stagnation-point flow and heat transfer of a third-grade fuzzy hybrid nanofluid over a permeable shrinking/stretching sheet حسب Imran Siddique (12705185)

"…Also, the comparison of A⁢l₂⁢O₃/SA, Cu/SA and A⁢l_2⁢O₃ +Cu/SA through the fuzzy membership functions (MFs). The fuzzy MFs show that the hybrid nanofluid (A⁢l₂⁢O₃ +Cu/SA) in terms of rate of heat transfer is better than both Cu/SA and A⁢l_2⁢O₃/SA nanofluids.…"

A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs حسب Alabd-Aljabar, Ahmed

احصل على النص الكامل

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

"…<p>This paper presents a design optimization algorithm for series-series compensated Inductive Power Transfer (IPT) system based on flat spiral coils, considering bifurcation phenomenon and AC equivalent resistance of the coils. …"

Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

"…Chest X-rays, MRI scans, CT scans, and skin lesions are used to diagnose the mentioned diseases. Transfer learning algorithms, such as VGG16, VGG19, ResNet, InceptionV3, and EfficientNetB4, are utilized to categorize various diseases. …"

Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog... حسب Mutasim Baba, Fuad

"…This paper aims to search for the optimum school building design under three simultaneous conflicting objective functions: (1) the minimization of overheating hours to less than 40 h as required by Building Bulletin BB101 building code by using passive mitigation measures, (2) the minimization of heating energy use to less than 15 kW/m2 ac cording to passive house requirements and thus the reduction of greenhouse gas emissions, and (3) the mini mization of artificial lighting energy use to less than the current lighting energy use by maximization of daylighting usage without exceeding acceptable glare index in classrooms. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

"…<p dir="ltr">Hubs act as intermediate points for the transfer of materials in the transportation system. …"

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…We utilised a CNN to determine the best-transferring strategy and the most efficient partitioning of a specific task. …"

Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

احصل على النص الكامل

A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

"…Also the proposed fitness function, as deviation characteristics of the step response in MIMO transfer function in virtual inertia emulation based HVDC model, is compared with integral time absolute error (ITAE), as the standard performance index in the optimization process. …"

Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series حسب Lasfer, Assia

احصل على النص الكامل

Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

احصل على النص الكامل

Gas pipeline modelling and control حسب Whalley, R

"…The pipeline input–output, transfer function, pressure and volume flow representations are formulated. …"
احصل على النص الكامل

A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications حسب Sharafeddine, Sanaa

"…The proposed scheme monitors the signal strength level during the file transfer process and compresses data blocks on-the-fly only whenever energy reduction gain is expected. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Automatic image quality evaluation in digital radiography using a modified version of the IAEA radiography phantom allowing multiple detection tasks حسب Ioannis A. Tsalafoutas (14776939)

"…</p><h3>Results</h3><p dir="ltr">The IQ‐metric values calculated using the modified IAEA phantom images can be radically different between raw and clinical images, and between different manufacturers, irrespectively whether only the standard or all the different Al‐target thicknesses are considered. The modulation transfer function (MTF) and the signal‐to‐noise‐ratio (SNR) dependence on exposure conditions and post‐processing algorithms do not always follow the same trends for raw and clinical images and/or different manufacturers, while the signal‐difference‐to‐noise‐ratio (SDNR) and the detectability index (d′), despite their differences, seem more appropriate to characterize IQ. …"