Optimal pebbling of complete binary trees and a meta-Fibonacci sequence by Thomas Lewis, Fabian Salinas

Get full text

Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

“…An efficient parallel algorithm for constructing a binary tree based on the address sorting with time complexity of T(N2) = O(log2 N) is obtained. …”
Get full text

Geodesic Dominated Coloring of Graphs by M. Paruvatha Vathana, R. Jayagopal

Subjects: “…Complete binary tree…”
Get full text

Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…In this paper, we propose a novel structural formation of the oblique decision tree (OBT) using a swarm intelligence technique, namely, the Binary Bat Swarm Algorithm (BBSA). …”
Get full text

A Novel Tree-Based Combined Test for Seasonality by Karsten Webel, Daniel Ollech

Get full text

Optimizing Image Watermarking with Dual-Tree Complex Wavelet Transform and Particle Swarm Intelligence for Secure and High-Quality Protection by Abed Al Raoof Bsoul, Alaa Bani Ismail

“…In this research, we propose an optimized image watermarking approach that utilizes the dual-tree complex wavelet transform and particle swarm optimization algorithm. …”
Get full text

A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

“…The search history is stored in a binary space partition (BSP) tree, where each searched solution is assigned to a leaf node and corresponds to a search region in the search space. …”
Get full text

Scaled Fenwick Trees by Matthew Cushman

“…Two solutions to this problem are well-known: Fenwick trees (also known as Binary Indexed Trees) and Segment Trees. …”
Get full text

Solar PV’s Micro Crack and Hotspots Detection Technique Using NN and SVM by David Prince Winston, Madhu Shobini Murugan, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, O. Jeba Singh, Pravin Murugesan, M. Gurudhachanamoorthy, Eklas Hossain

Get full text

Generating Encrypted Document Index Structure Using Tree Browser by Doaa N. Mhawi, Haider W. Oleiwi, Heba L. Al-Taie

“…This method represents the keywords in a variable-length binary format before being stored in the index. This binary format provides additional encryption to the information stored and reduces the index size. …”
Get full text

Depth first traversal algorithm for the back-off tree of distributed queuing by Wennai WANG, Yanhe ZHANG, Wei WU, Chen BAI, Bin WANG

“…An analytic model was provided for the conventional distributed queueing (DQ) and its back-off tree operations, followed by a design of improving algorithm based on depth first traversal.Combing the specific analysis of complete binary tree with generalized extension by random tree reconstruction, the performance of proposed algorithm was evaluated on the throughput in both theory and simulation experiment.A theoretic optimal solution of contention slots of DQ frame and a brief description of simulation extension based on the open source NS-3 were presented.The simulation results show that the maximum stationary throughput by the proposed algorithm reaches 70% of the physical capacity of channel.…”
Get full text

Improved Quantum Query Upper Bounds Based on Classical Decision Trees by Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

“…We also show a polynomial separation between rank and randomized rank for the complete binary AND-OR tree. Beigi and Taghavi constructed span programs and dual adversary solutions for Boolean functions given classical decision trees computing them and an assignment of non-negative weights to its edges. …”
Get full text

Performance Comparison of Random Forest and Decision Tree Algorithms for Anomaly Detection in Networks by Rafiq Fajar Ramadhan, Wahid Miftahul Ashari

“…From the study result, it can be conclude that the Decision Tree algorithm performs better in detecting anomalies in binary data with an accuracy of 99,71%. …”
Get full text

A comparative study of machine learning and deep learning models in binary and multiclass classification for intrusion detection systems by Ayesha Alharthi, Meera Alaryani, Sanaa Kaddoura

“…Network infrastructure evolution has significantly expanded the attack surface, leading to increasingly complex and sophisticated cybersecurity threats. Traditional rule-based intrusion detection systems (IDS) often fail to detect emerging attack vectors, prompting the need for intelligent, data-driven approaches. …”
Get full text

IMPACT OF BRASSINOLIDE, NANO-SILICON, AND MYCORRHIZAE ON THE NUTRIENT COMPOSITION AND PRODUCTIVITY OF OLIVE TREES BASHIKA CV by Esraa AL-Jaleely, Ayad Alalaf, Suliman Kako

“…The third factor involved the addition of a bio-fertilizer (mycorrhizal fungus) at three concentrations (0, 50, and 100 g tree⁻¹). The experiment used a Randomized Complete Block Design (R.C.B.D) with three factors, three replicates, and one tree per experimental unit. …”
Get full text

Revisiting the effectiveness of a performance decision tree-style rubric compared to a grid-style rubric by Yuichiro Yokouchi

“…Abstract The performance decision tree (PDT; Fulcher et al., 2011) is a rubric style that is applicable to performance assessment, with origins in Upshur and Turner’s (1995) empirically derived binary-choice, boundary-definition (EBB) scale. …”
Get full text

Response of Olive Trees (Olea europaea L.) cv. Zaity to Bio health and Foliar Spray of Tecamin max and Boron by Araz Siyar Faris, Shaymaa Mahfodh Abdulqader

“…A factorial experiment with three replications was carried out in a randomized complete block design (RCBD), using one tree for each experimental unit. …”
Get full text

Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. …”
Get full text

Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

“…This paper introduces Shape Penalized Decision Forests, a novel classifier tailored for imbalanced binary classification. Our method integrates a penalty on the surface-to-volume ratio of decision sets within decision tree construction, thereby inherently addressing class imbalance without additional sampling. …”
Get full text

Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province by Qing-Qian Peng, Xia Zhou, Hang Zhou, Ye Liao, Zi-Yu Han, Lu Hu, Peng Zeng, Jiao-Feng Gu, Rong Zhang

“…Cadmium (Cd) pollution poses a severe threat to rice safety and human health, while traditional linear models exhibit significant limitations in predicting rice Cd accumulation due to environmental complexities. This study systematically evaluated the predictive performance of Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Residual Neural Networks (ResNet), using a multi-source soil–rice dataset comprising 57,200 samples from Hunan Province. …”
Get full text