Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis by Zishen Zhang, Hong Cheng, Meiyu Chen, Lixin Zhang, Yudou Cheng, Wenjuan Geng, Junfeng Guan

“…In summary, the combination of HSI and machine learning models enabled an efficient, rapid, and non-destructive detection of pear quality and provided a practical value for quality control and the commercial processing of pears.…”
Get full text

3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The transformer can extract the global information well but adapting it to small medical datasets is challenging and its computational complexity can be heavy. In this work, a serial and parallel network is proposed for the accurate 3D medical image segmentation by combining CNN and transformer and promoting feature interactions across various semantic levels. …”
Get full text

New forgery attack on the authenticated cipher SCREAM and iSCREAM by Yu-dan TIAN, Yong-zhuang WEI

“…Authentication encryption algorithms have been widely used in networks security system since these al-gorithms can efficiently provide both privacy and integrity measurement for data transmission. …”
Get full text

Mono‐Ethyl‐Phosphonates: Functional Group Masking Strategy to Stabilize and Optimize the Pharmacokinetics of Rare Earth Radiochelates by Jennifer N. Whetter, Axia Marlin, Edith K. Amason, Eduardo Aluicio‐Sarduy, Angus J. Koller, Phuong Nguyen Tran, Kaelyn V. Becker, Jonathan W. Engle, Eszter Boros

“…Spectrophotometric studies reveal reduced thermodynamic stability for [Sc(L2‐Et)] and [Lu(L2‐Et)] when compared with their phosphonate parent complexes. Radiolabeling with 44Sc and 177Lu remains efficient at ≤ 40 °C (155‐906 mCi μmol−1) with corresponding radiochelates remaining >87% and >98% inert in plasma after one isotope half‐life. …”
Get full text

Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning by Issam Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah

“…To alleviate the difficulties faced in the non-trivial task of selecting suitable ML techniques and MHDs for an ITS with a specific complexity level, a performance evaluation framework is proposed. …”
Get full text

Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…Since all circuit operation results are considered acceptable, the article scrutinizes circuit configurations and selects the most effective surge absorption technique based on active and passive components and surge mitigation complexity. …”
Get full text

AEQUAM: Accelerating Quantum Algorithm Validation Through FPGA-Based Emulation by Lorenzo Lagostina, Deborah Volpe, Maurizio Zamboni, Giovanna Turvani

“…This work presents AEQUAM (Area Efficient QUAntum eMulation), a toolchain that enables faster and more accessible quantum circuit verification. …”
Get full text

SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

“…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m³/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
Get full text

THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION by R. V. Fattakhov, M. M. Nizamutdinov, V. V. Oreshnikov

“…The complexity and diversity of the processes of spatial mobility of the population make forecasting of those processes one of the most difficult in practical terms. …”
Get full text

Effect of Enzyme on Chromed Leather Dyeing With Acidic Dyes by Renata Biškauskaitė-Ulinskė, Virgilijus Valeika

“…Leather dyeing is a difficult task due to its heterogeneity and complexity. Several studies are aimed at improving the effectiveness of dyeing, including process optimization, use of dye auxiliaries, ultrasound, liposomes, and enzymes. …”
Get full text

SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…Thanks to full-resolution inference within these selected regions, lightweight detectors can be employed, further accelerating the process. …”
Get full text

Heterogeneous Electrocatalytic CO2 Reduction by Supported Molecular Catalysts Well Dispersed on Electrode Surface by Ke Ma, Shiyu Zhang, Weixuan Nie

“…Among various electrocatalysts, molecular catalysts, particularly transition metal complexes, stand out due to the high selectivity for single specific products and desirable tunability, enabling rational optimization of catalytic performance. …”
Get full text

Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter by Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Mohammed M. Alhaider

“…To reduce computational complexity, the FS-MPC selectively employs 30 out of 64 switching vectors, ensuring faster processing without sacrificing performance. …”
Get full text

The implementation of Safety Management Systems in healthcare: a systematic review and international comparison by Zhivko Zhelev, Sian de Bell, Alison Bethel, Maria Clarke, Rob Anderson, Jo Thompson Coon

“…Topic-related factors concerned the perceived complexity of a theme and its connection with existing projects or guidelines. …”
Get full text

An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks by Pengcheng Fu, Hongying Tang, Yongbo Cheng, Baoqing Li, Hanwang Qian, Xiaobing Yuan

“…From simulation results, it is demonstrated that the proposed node scheduling scheme can not only maintain the preset tracking accuracy but also extend network lifespan with a low computation complexity.…”
Get full text

Sustainable metal recovery from spent lithium-ion battery using electrochemical technique: A comprehensive method review by Sayali Apte, Aparna Mukherjee, Preeti Mishra

“…However, challenges like process complexity due to multi-element systems, employment of strongly corrosive solvents, membrane fouling, and scalability are also witnessed. …”
Get full text

Establishing a universal IVRP method for quadrivalent HPV vaccines to replace in vivo potency tests by Jinpan Hu, Zijing Jia, Meng Wang, Lingling Nie, Wangjun Fu, Qingfeng Zhang, Haiyang Qin, Jianhui Nie, Xiaoyu Xu, Lingjie Xu, Fengze Wang, Yingping Chen, Bo Xing, Tao Li, Danfeng Li, Shaowei Li, Ningshao Xia, Xiangxi Wang, Weijin Huang

“…A broad-spectrum binding antibody (C4-F5-127) was selected as the capture antibody; four type-specific neutralizing antibodies (6-F5-77, 11-F5-187, 16-F5-196, and 18-F5-203) were selected as detection antibodies for HPV6, 11, 16, and 18, respectively. …”
Get full text

Thermodynamic Characteristics of the Ion-Exchange Process Involving REMs of the Light Group by Olga V. Cheremisina, Maria A. Ponomareva, Yulia A. Mashukova, Nina A. Nasonova, Maria D. Burtseva

“…Infrared spectral analysis confirmed the presence of sulfate and phosphate complexes in the resin matrix, clarifying the ion-exchange mechanisms. …”
Get full text

A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones by Hao Li, Yun Pu, Lingjuan Chen, Yu Wang

“…The cooperative optimization algorithm could be applied efficiently in practice and benefit from its rapid response and low computation complexity.…”
Get full text

A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search by Yifei Liu, Yiheng Zhu, Jike Wang, Renling Hu, Chao Shen, Wanglin Qu, Gaoang Wang, Qun Su, Yuchen Zhu, Yu Kang, Peichen Pan, Chang‐Yu Hsieh, Tingjun Hou

“…Abstract Drug discovery faces increasing challenges in identifying novel drug candidates satisfying multiple stringent objectives, such as binding affinity, protein target selectivity, and drug‐likeness. Existing optimization methods struggle with the complexity of handling numerous objectives, limiting advancements in molecular design as most algorithms are only effective for up to four optimization objectives. …”
Get full text