Transductive zero-shot learning via knowledge graph and graph convolutional networks by Qiong Li, Xin Sun, Junyu Dong

“…However, relying solely on a small labeled seen dataset and the limited semantic relationships will lead to a significant domain shift, hindering the classification performance. …”
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Individual Tree Segmentation From Airborne LiDAR Data Based on Automatic Treetop Detection and Simulated Stem-Branch Points Compensation by Qingjun Zhang, Jiale Chen, Hanwen Qi, Xu Wang, Xinlian Liang

“…Therefore, we propose a novel individual tree segmentation method based on treetop detection and point compensation. First, a center shift algorithm is proposed to detect treetop candidates, which are then refined to identify reliable treetops through geometric-feature analysis of these candidates’ neighborhoods. …”
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Optimization of surgical treatment of abdominal hernias in patients with obesity by V. I. Belokonev, V. P. Zakharov, D. B. Grachev, S. Y. Pushkin, Z. V. Kovaleva, D. S. Pushkina

“…When treating patients with hernias and obesity during operations, the following tactical algorithms were followed: with a saggy stomach and panniculus of the 1st degree, the removal of the skin-subcutaneous apron can be refused; with the 2nd and 3rd degrees, its preservation contributes to the recurrence of the hernia due to the action of moments of forces that shift and pull the abdominal wall down.Conclusions. …”
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SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction by Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han

“…The Hybrid Adaptive Timing Correction algorithm achieves 31.01% success rate (95% CI: [30.2%, 31.8%]), representing a 26.5% improvement over baseline approaches through intelligent meta-learning-based algorithm selection. …”
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Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…We conducted multivariate Cox regression to sift for prognostically relevant genes to structure an ITH-related prognostic signature. …”
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An in silico evaluation of lorlatinib as a potential therapy for novel amino acid substitutions in the tyrosine kinase domain of the ALK protein associated with cancer by Richard Junior Zapata Dongo, Julio A. Poterico, Diletta Fontana, Luca Mologni, Carla Alvarez-Chacon, Juan Rojas-Armas, Jaeson Calla

“…This study aims to identify ALK tyrosine kinase domain mutations using data from the Cancer Genome Atlas and to evaluate the potential of lorlatinib, a third-generation ALK inhibitor, in overcoming these mutations. Using the SIFT and Polyphen-2 algorithms, we identified 53 deleterious ALK mutations associated with different newly recognized cancer types. …”
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Evaluation of different in silico tools for the assessment of deleterious variants in acute myeloid leukemia by Wardah Qureshi, Muhammad Irfan, Ishtiaq Ahmad Khan, Muhammad Shakeel

“…The widely accepted practice of using in silico pathogenicity predictions as evidence when interpreting genetic variants is an integral part of standard variant classification guidelines. Several algorithms have been developed and evaluated to predict deleterious variants. …”
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A Mixed Chaotic Image Encryption Method Based on Parallel Rotation Scrambling in Rubik’s Cube Space by Lu Xu, Yun Chen, Yanlin Qin, Zhichao Yang

“…Most image encryption methods based on Rubik’s cube scrambling adopt the idea of cyclic shift or map the image pixels to the cube surface, not fully considering the cube’s three-dimensional (3D) properties. …”
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Towards Automatic Expressive Pipa Music Transcription Using Morphological Analysis of Photoelectric Signals by Yuancheng Wang, Xuanzhe Li, Yunxiao Zhang, Qiao Wang

“…In this paper, we assess different transcription processes and algorithms applied to signals captured by optical sensors mounted on a pipa—a traditional Chinese plucked instrument—played using a range of techniques. …”
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Enhancing Secure Energy Efficiency of SWIPT IoT Network Considering IRS and Artificial-Noise: A Deep Learning Approach by Kimchheang Chhea, Jung-Ryun Lee

“…To solve this problem, we propose a deep neural network (DNN) algorithm that utilizes a loss function derived from Lagrange duality function. …”
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Coupling an Autonomous UAV With a ML Framework for Sustainable Environmental Monitoring and Remote Sensing by Faris A. Almalki, Shafaa M. Salem, Waad M. Fawzi, Norah S. Alfeteis, Shams A. Esaifan, Anoud S. Alharthi, Reef Z. Alnefaiey, Qamar H. Naith

“…The dual architecture of the drones, combined with the ground-level IoT system, creates a comprehensive framework that not only enhances agricultural technologies but also aligns with environmental conservation goals, embodying a paradigm shift towards a greener and more sustainable future. …”
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Example of internal function for Sponge scheme built on the basis of the generalized AES design methodology by R. M. Ospanov, Ye. N. Seitkulov, B. B. Yergaliyeva, N. M. Sisenov

“…The most common approach is to use a permutation based on a symmetric block encryption algorithm with constants as the key. This article builds an internal  function  using  the  generalized  AES  design  methodology. …”
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Improving energy efficiency for intelligent reflecting surface assisted PD-NOMA in EH relaying network by Hong Nguyen-Thi, Thuc Kieu-Xuan, Thang Le-Nhat, Anh Le-Thi

“…We also construct a Particle swarm optimization (PSO)-based program to optimize the EE depending on power allocation for NOMA users and phase shift of the IRS elements. To determine the efficiency of PSO, we consider two other techniques: Genetic Algorithm (GA) and Exhaustive Search (ES). …”
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Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality by Jing Huang, Qing Chang, Hua-Tzu Fan

“…With typically hundreds of vehicles in one shift, the paint shop sequencing problem is intractable in classical computing. …”
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The Orbital Angular Momentum Encoding System With Radial Indices of Laguerre–Gaussian Beam by Zhongyi Guo, Zikun Wang, Maxime Irene Dedo, Kai Guo

“…Meanwhile, the combination of the phase-shift factor and centroid algorithm can realize the simultaneous detection of the radial indices in each channel and efficient decoding of information. …”
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Reinforcement-Learning-Based Edge Offloading Orchestration in Computing Continuum by Ioana Ramona Martin, Gabriel Ioan Arcas, Tudor Cioara

“…Addressing these is essential to shift the workloads from the cloud to the edge and across the entire computing continuum. …”
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Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

“…While traditional methodologies based on S-N curve models remain prevalent in industry, there is a contemporary shift towards employing Artificial Intelligence and Machine Learning techniques to significantly refine the accuracy of fatigue lifetime predictions. …”
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Secure energy efficiency maximization for joint ITS and IRS assisted satellite downlink communications by Shaochuan Yang, Kaizhi Huang, Hehao Niu, Yi Wang, Ya Liu, Zheng Chu

“…The aim is to maximize the secure energy efficiency by jointly designing ITS beamforming, IRS phase shift, jammer precoding vector, and transmit power allocation. …”
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First-Principles Study of the Quasi-Particle and Excitonic Effect in o-BC2N: The GW + BSE Study by Genene Shiferaw Aga, Pooran Singh, Chernet Amente Geffe

“…Furthermore, using the BSE algorithm, we calculate the optical bandgap of type II o-BC2N to be 4.0 eV with the excitonic effect and 4.4 eV without the excitonic effect. …”
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Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration by Mohammed Adil Abbas, Aqiel N. Almamori, Ahmed Jumaa Lafta, Asaad H. Sahar

“…Unlike conventional approaches that optimize RIS phase shifts and transmitter precoding separately, our method jointly optimizes both using an iterative strategy. …”
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