We also discuss an algorithm for finding a minimum weight spanning tree of a weighted undirected graph using at most $n+o(n)$ bits. We also provide an implementation for DFS that takes $O(m+n)$ time and $O(n \\\
An additional benefit of using an AI algorithm is its potential use of identifying a FFKC from a normal eye which may otherwise be clinically difficult and hence allowing closer monitoring and earlier intervention if needed. Unsupervised ML was used to classify KC by analyzing SS-OCT images, alo...
The problem of space-efficient depth-first search (DFS) is reconsidered. A particularly simple and fast algorithm is presented that, on a directed or undirected input graph G=(V,E) with n vertices and m edges, carries out a DFS in O(n+m) time with n+∑v∈V≥3⌈log2(dv−1...
Moreover, the aim of Section 6 is to establish a generalized algorithm for Roy and Maji method based on the bipolar vague soft sets to determine the optimal alternative among others given in a decision-making problem. Finally, Section 7 gives open questions for further investigations and ...
For the weighted DAG (G), we can rank metrics with the PageRank algorithm. PageRank works according to the number of incoming edges and the probability of anomalies spreading through the graph. We define Pij as the transition probability of node i to j: (8)Pij=wij∑jwij,ifwij≠00,other...
Multi GPU capabilities via HUEspace Multiple algorithms (RTM, etc) Yes Yes Yes Yes Yes Multiple algorithms (RTM, etc) Yes Full elastic wave-equation imaging and analysis of microseismic fracture data. GPU Algebraic MultiGrid Package Yes Yes RTM processing RTM algorithm Yes Yes Research: Higher ...
• A utomated 3D feature extraction Skyline Software PhotoMesh integrates a GPU-based, fast algorithm, able to automatically build 3D models from simple photographs. PhotoMesh revolutionizes the use of geospatial data by fully automating the generation of high-resolution, textured, 3D mesh models...
Randomized Binary Search Algorithm Meta Binary Search | One-sided Binary Search Linear Vs. Binary Search Binary Search in String Variants of Binary Search Find Prime Numbers Using Sieve of Eratosthenes Optimal Merge Pattern Check duplicate elements in an array Find the missing number Find the number...
Supervised learning has clear goals because of the labeling and labeled data. Through the training process, it was possible to obtain the expected results. Computers learn to model relationships based on labeled training data. The inputs and outputs are labeled for the algorithm. After learning how...
significant developments have been made to the DL algorithm, including the integration of the attention mechanisms [20,79,81,92], generative adversarial networks [78,85] and the recent breakthrough of transformers [98,139,256]. These advancements in the DL algorithm have had a great impact on...