Software complex for simulation modelling of single nucleotide genetic polymorphism sites by M. M. Yatskou, D. D. Sarnatski, V. V. Skakun, V. V. Grinev

“…A software complex has been developed for simulation modelling and identification of single nucleotide polymorphism sites using machine learning methods. …”
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LINKING MARKETING AND HUMAN RESOURCES RECRUITMENT TO OBTAIN ORGANIZATIONAL EFFICIENCY by Nicoleta Valentina FLOREA

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Proteomics approaches – their potential for answering complex questions in meat science research by Elisabeth Huff-Lonergan, Steven M. Lonergan

“…New information can be used to make precise changes in management or genetic selection to improve the ability to efficiently produce the high-quality meat that customers and consumers expect. …”
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Analysis of Methods for Training Robotic Manipulators to Perform Complex Motion Trajectories by Yurii Senchuk, Fedir Matiko

“…The article examines current approaches to training robotic manipulators for executing complex tasks in dynamic and changing environments. …”
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A Complexity Reduction Method for Intra Prediction Method in HEVC Standard by Zahra Mirian, Mohammadreza Ramezanpour

“…High Efficiency Video Coding (HEVC) is considered the last standard for video compression with about 50% additional compression compared to the previous standard i.e. …”
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Location-Based Relay Selection in Full-Duplex Random Relay Networks by Jonghyun Bang, Taehyoung Kim

“…Furthermore, we introduce a low-complexity relay selection algorithm that selects the relay node nearest to the potential relay location. …”
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The Complexity of Oxidative Stress in Human Age-Related Diseases—A Review by Alicja Płóciniczak, Ewelina Bukowska-Olech, Ewa Wysocka

“…One of the key contributors to aging and age-related diseases is oxidative stress, resulting from an imbalance between the generation of reactive oxygen species (ROS) and the efficiency of antioxidant defense systems. In this review, we introduce the concept of the oxidative stress complexity—a network encompassing ROS-generating systems, enzymatic and non-enzymatic antioxidants, and genetic determinants that collectively shape redox homeostasis. …”
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An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer by Jingxun Cai, Zne-Jung Lee, Zhihxian Lin, Chih-Hung Hsu, Yun Lin

“…Once ovarian cancer reaches an advanced stage, the complexity and difficulty of treatment increase substantially, affecting patient survival rates. …”
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Efficient Differential Diagnosis using Cost-aware Active Testing by Emile van Gerwen, Leonardo Barbini, Michael Borth, Robert Passmann

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Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

“…Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems. …”
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An efficient hybrid framework with knowledge transfer for solving capacitated vehicle routing problems by Yanlin Wu, Yanguang Cai, Chuncheng Fang

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Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning by Gabriele Inzerillo, Diego Valsesia, Enrico Magli

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Efficient and provably-secure certificateless sequential aggregate signature scheme by Zhu WANG, Siqi YANG, Fenghua LI, Kui GENG, Tingting PENG, Mengyao SHI

“…Aiming at the problem that current schemes mostly let the latter signer to verify the multiple signatures of the previous signer, and the message is signed and then passed to the next signer, leading to the efficiency problem of long overall signature time.A sequential aggregate signature scheme based on bilinear pairs was proposed.The aggregate signatures of documents were generated by multiple users in a certain order, and only the final signature was needed to be verified to confirm the correct order of signatures and the legitimacy of multiple user signatures.The complexity of verifying the multi-user sequential signature was effectively reduced and the offline verification of the authenticity of signature was realized when the user was offline or in a delay-tolerant network with limited node caching capacity and network resources.It is shown that the proposed scheme is existential unforgeability against chosen-message attacks under adversary adaptive selection messages in the random oracle model.…”
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Economic and ecological efficiency of adaptive system for fertilising spring barley by I. I. Gureev, A. V. Gostev, L. B. Nitchenko

“…The high efficiency of using complex fertilizers in the cultivation of spring barley has been established. …”
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Efficiency of Semantic Web Implementation on Cloud Computing: A Review by Kazheen Ismael Taher, Rezgar Hasan Saeed, Rowaida Kh. Ibrahim, Zryan Najat Rashid, Lailan M. Haji, Naaman Omar, Hivi Ismat Dino

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Optimizing lightweight neural networks for efficient mobile edge computing by Liu Liu, Zhifei Xu

“…Compared to prior single-agent or heuristic methods, our approach improves scalability and efficiency while reducing computational complexity. …”
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Computationally Efficient Artifact Suppression for Optical Coherence Tomography Angiography by Wenxin Zhang, Jun Pan, Shiqi Tang, Ning Liu

“…Current artifact suppression methods often require complex algorithms and extensive computation, limiting their practicality. …”
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Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

“…Computational musculoskeletal modeling has been widely used as a powerful non-invasive tool to estimate them through inverse dynamics using static optimization, but the inherent computational complexity results in time-consuming analysis. In this paper, we propose a knowledge-based deep learning framework for time-efficient inverse dynamic analysis, which can predict muscle activation and muscle forces from joint kinematic data directly while not requiring any label information during model training. …”
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An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

“…Binary multiplication is a key operation in digital systems, often limited by the complexity of generating and summing numerous partial products. …”
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The Partner Selection Modes for Knowledge-Based Innovation Networks: A Multiagent Simulation by Lvcheng Li, Jialong Xie, Ruyi Wang, Jiafu Su, Stavros Sindakis

“…Proper partner selection can increase the efficiency of the entire innovation system. …”
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