Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images by Rehan Raza (17019105)

“…The class imbalance issue was handled through multiple data augmentation methods to overcome the biases. …”

Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

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A novel technique for fast multiplication by Sait, Sadiq M.

“…In the case of 2 s complement multiplication the tree of carry-save-adders also receives a correction output produced in parallel with the partial products. The algorithm is modelled in a hardware description language and its VLSI chip implemented. …”
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From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

“…<p dir="ltr">Complexity, uncertainty, and high dynamic nature of nutrient removal through biological processes (BPs) makes it difficult to model and control these processes, forcing designers to rely on approximations, probabilities, and assumptions. …”

An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control by Mahmoud Dahmani (18810247)

“…To accomplish such a feat, four user-specific methods were developed, implemented, and tested; all of which were based on a benchmark database created by the authors. …”

Impact Of Inspection Errors On The Performance Measures Of A General: Repeat Inspection Plan by Duffuaa, S. O.

“…The impact of the errors is studied by conducting sensitivity analysis on the errors utilizing computer software which implements an algorithm that determines the optimal parameters of the model of the plan. …”
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata by Siddiqui, Ansah Juned

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CEAP by Abdel Wahab, Omar

“…To reduce the overhead of the proposed detection model and make it feasible for the resource-constrained nodes, we reduce the size of the training dataset by (1) restricting the data collection, storage, and analysis to concern only a set of specialized nodes (i.e., Multi-Point Relays) that are responsible for forwarding packets on behalf of their clusters; and (2) migrating only few tuples (i.e., support vectors) from one detection iteration to another. …”
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Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids by Alshaal, Dima

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A novel technique for fast multiplication by Sait, Sadiq M.

“…In case of 2's complement multiplication the tree of carry-save-adders also receives a correction output produced in parallel with the partial products. The algorithms is modeled in a hardware description language and its VLSI chip implemented. …”
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Cross entropy error function in neural networks by Nasr, G.E.

“…This paper applies artificial neural networks to forecast gasoline consumption. The ANN is implemented using the cross entropy error function in the training stage. …”
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Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

“…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …”
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Measuring ripple effect for object-oriented programs. (c2004) by Salem, Hani Hassan

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A machine learning approach for localization in cellular environments by Abdallah, Ali A.

“…This constitutes an improvement of 41%, 45%, and 16%, respectively, over the WKNN-only algorithm.…”
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Lightweight blockchain solutions: Taxonomy, research progress, and comprehensive review by Mershad, Khaleel

“…More precisely, we identify five areas within the “lightweight” concept, namely, blockchain architecture, device authentication, cryptography model, consensus algorithm, and storage method. We discuss the various methods employed in each “lightweight” category, highlighting existing gaps and identifying areas for improvement. …”
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Recent advances on artificial intelligence and learning techniques in cognitive radio networks by Abbas, Nadine

“…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
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Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks by Mohamed Amjath (17542512)

“…This study proposes an analytical method based on sequential quadratic programming (SQP) methodology coupled with a mean value analysis (MVA) algorithm to solve this NP-Hard problem. Furthermore, a discrete event simulation (DES) model is developed to validate the optimisation of non-dominant solutions. …”

Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation by Hariprasath Manoharan (14157966)

“…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”

Blockchain-Based Decentralized Architecture for Software Version Control by Muhammad Hammad (17541570)

“…Smart contracts will be used to register developers, create blocks, and manage the repository. The suggested model is implemented using the Hyperledger Fabric network, and the developer and authorizer ends are built into the dotnet web application.…”