Search alternatives:
algorithm cost » algorithm goa (Expand Search), algorithm aoa (Expand Search), algorithm its (Expand Search)
algorithm etc » algorithm its (Expand Search), algorithm _ (Expand Search), algorithm fa (Expand Search)
algorithm cost » algorithm goa (Expand Search), algorithm aoa (Expand Search), algorithm its (Expand Search)
algorithm etc » algorithm its (Expand Search), algorithm _ (Expand Search), algorithm fa (Expand Search)
-
81
A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments
Published 2020“…The various steps of the SE approach are discussed in details. Goodness functions required by SE are designed and explained. …”
Get full text
article -
82
General iterative heuristics for VLSI multiobjective partitioning
Published 2003“…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …”
Get full text
Get full text
article -
83
-
84
Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
Published 2019“…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
85
Machine Learning Model for a Sustainable Drilling Process
Published 2023Get full text
doctoralThesis -
86
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 2019“…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …”
Get full text
Get full text
Get full text
Get full text
article -
87
A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
Published 2024“…<p dir="ltr">A disease is a distinct abnormal state that significantly affects the functioning of all or part of an individual and is not caused by external harm. …”
-
88
Fragment based protein structure prediction. (c2013)
Published 2016“…The results, evaluated on three proteins, show that the algorithm produces tertiary structures with promising root mean square deviations, within reasonable times.…”
Get full text
Get full text
masterThesis -
89
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007“…One of the contributions in attempting to maintain the proper functioning of internetworking is made by the Open Shortest Path First (OSPF) protocol. …”
Get full text
masterThesis -
90
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…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. …”
-
91
Guidance, Control and Trajectory Tracking of Small Fixed Wing Unmanned Aerial Vehicles (UAV's)
Published 2009Get full text
doctoralThesis -
92
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
Published 2012Get full text
doctoralThesis -
93
Software defect prediction. (c2019)
Published 2019“…If a system encompasses a defective module, correcting the resulting fault can cost much more than repairing the module before integration. …”
Get full text
Get full text
Get full text
masterThesis -
94
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Unlike MPC, IMPC offers a significantly reduced computational burden by omitting the iterative computations of the cost functions and states predictions. Nevertheless, both IMPC and MPC rely significantly on the dynamic model of the power converter. …”
-
95
Platoon Transitional Maneuver Control System: A Review
Published 2021“…This paper also discusses different trajectory planning techniques used in lateral motion control and studies the most recent research related to trajectory planning for automated vehicles and summarizes them based on the used trajectory planning technique, platoon or/and lane change, the type of traffic, and the cost functions. Finally, this paper explores the open issues and directions for future research.…”
-
96
LNCRI: Long Non-Coding RNA Identifier in Multiple Species
Published 2021“…However, the cost and time-consuming nature of transcriptomics verification techniques barred the research community from focusing on lncRNA identification. …”
-
97
Blood Glucose Regulation Modelling and Intelligent Control
Published 2024Get full text
doctoralThesis -
98
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam forming model based on mmWave logics, as well as training logic for the network map functions. The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
-
99
-
100
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
Published 2022“…The development of such technology is strongly depended upon tuning the surface properties of the applied electrocatalysts. Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …”