Variational quantum algorithm for enhanced continuous variable optical phase sensing by Jens A. H. Nielsen, Mateusz J. Kicinski, Tummas N. Arge, Kannan Vijayadharan, Jonathan Foldager, Johannes Borregaard, Johannes Jakob Meyer, Jonas S. Neergaard-Nielsen, Tobias Gehring, Ulrik L. Andersen

“…Abstract Variational quantum algorithms (VQAs) are hybrid quantum-classical approaches used for tackling a wide range of problems on noisy intermediate-scale quantum (NISQ) devices. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

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Research on Algorithms for Local Robot Positioning Using Methods of Discrete Optimization by Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodzinskyi

“…Simultaneously, there is a gradual shift from using individual robots to deploying collective robots, as this approach proves to be more efficient for various tasks such as agricultural surveys and irrigation. …”
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TREATMENT FOR ACUTE/SUBACUTE MUSCULOSKELETAL PAIN, BY USING AN ALGORITHM FOR STEPWISE CHOICE OF ANALGESIC DRUGS AND FOR MONITORING THEIR EFFICACY: PRELIMINARY DATA OF THE ANALGESIC... by N. V. Gontarenko, A. V. Tsurgan, A. E. Karateev

“…A meeting of experts was held inMoscowin June 2015 to discuss the possibility of forming an interdisciplinary approach and elaborating a unified MSP treatment algorithm based on the com prehensive pathogenetically justified use of different classes of medicines. …”
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Scalable <i>O</i>(<i>log</i>₂<i>n</i>) Dynamics Control for Soft Exoskeletons by Julian D. Colorado, Diego Mendez, Andres Gomez-Bautista, John E. Bermeo, Catalina Alvarado-Rojas, Fredy Cuellar

“…In this paper, we address the computational limitations of modeling large-scale articulated systems for soft robotic exoskeletons by integrating a parallel algorithm to compute the exoskeleton’s dynamics equations of motion (EoM), achieving a computation with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>l</mi><mi>o</mi><msub><mi>g</mi><mn>2</mn></msub><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> complexity for the highly articulated <i>n</i> degrees of freedom (DoF) running on <i>p</i> processing cores. …”
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Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma by Binfeng Liu, Shasha He, Chenbei Li, Zijian Xiong, Zhaoqi Li, Chengyao Feng, Hua Wang, Chao Tu, Zhihong Li

“…Abstract Soft tissue sarcomas (STS) imposes a substantial healthcare burden on society. …”
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APPLICATION OF ANT COLONY ALGORITHM FOR REALIZATION OF TRANSPOSITION CIPHERS CRYPT ANALYSIS by Vladimir A. Fatkhi, Alexander S. Sergeyev

“…Possibility of application of ant colony algorithms for realization of the transposition ciphers cryptanalysis  is studied. …”
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A numerical algorithm based on Jacobi polynomials for FIDEs with error estimation by K. Sadri, D. Amilo, E. Hincal

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Review of One-Stage Universal Object Detection Algorithms in Deep Learning by WANG Ning, ZHI Min

“…With the development of deep learning, general object detection algorithms have shifted from traditional object detection methods to object detection methods based on deep learning. …”
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An adapted savings algorithm for planning heterogeneous logistics with uncrewed aerial vehicles by Andy Oakey, Antonio Martinez-Sykora, Tom Cherrett

“…Subsequently, routes are compiled into workable fixed shifts using a modified bin-packing algorithm in each iteration.The approach of this study is based on a case study of the UK’s National Health Service (NHS), involving the collection of pathology samples using traditional vans operating within fixed time slots. …”
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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation by Matej Črepinšek, Miha Ravber, Luka Mernik, Marjan Mernik

“…Such regions can mislead the search process, trap metaheuristic algorithms (MAs) in local optima, or hide global optima in isolated regions, making effective exploration particularly challenging. …”
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The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

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Multi-objective optimization analysis of construction management site layout based on improved genetic algorithm by Hui Yin

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Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions by Jianhui Zhang

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Adaptive Periodic Speed Fluctuation Suppression for Permanent Magnet Compressor Drives by Chenchen Zhang, Yang Yang, Yimin Gong, Yibo Guo, Hongda Song, Jiannan Zhang

“…Moreover, the RGN also has strong robustness regarding system phase shift. The compensation current of APSFSM can adaptively adjust its amplitude and phase based on real-time speed errors, maintaining the significant suppression of speed fluctuations under different operating conditions. …”
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A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…Experimental validation on a dataset comprising seven pine nut varieties demonstrated that, compared to particle swarm optimization (PSO) and the genetic algorithm (GA), the IBiEO-SP algorithm improved average classification accuracy by 5.7% (<i>p</i> < 0.01, Student’s <i>t</i>-test) under four spectral preprocessing methods (MSC, SNV, SG1, and SG2). …”
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Adversarial Validation in Image Classification Datasets by Means of Cumulative Spectral Gradient by Diego Renza, Ernesto Moya-Albor, Adrian Chavarro

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Joint Optimization Strategy of Task Migration and Power Allocation Based on Soft Actor-Critic in Unmanned Aerial Vehicle-Assisted Internet of Vehicles Environment by Jingpan Bai, Yifan Zhao, Bozhong Yang, Houling Ji, Botao Liu, Yunhao Chen

“…Considering the dynamic nature of the unmanned aerial vehicle-assisted internet of vehicles environment and the continuity of the action space, a soft actor-critic based algorithm for task migration and power allocation is designed. …”
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Low complexity acquisition algorithm for GPS signals with low SNR and high dynamic by Zhu-lin XIONG, Ce-lun LIU, Jian-ping AN, Ze-bin XIE

“…A frequency-domain segmental shift average periodogram acquisition algorithm for GPS signals with low SNR and high dynamic was proposed. …”
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