Skip to Content

127 Results Found

  • Article
  • Open Access
4 Citations
927 Views
23 Pages

CRITIC–EDAS Approach for Evaluating Mechanical Properties of Flax/Vetiver/MFF Hybrid Composites

  • M. Navin,
  • Thirumalaisamy Ramakrishnan,
  • Devarajan Balaji and
  • Venkateswaran Bhuvaneswari

27 June 2025

This study investigates the mechanical properties and optimization of hybrid composites composed of flax, vetiver, and mahogany fruit fillers (MFFs) using epoxy resin as the matrix material. Nine distinct composite configurations were fabricated usin...

  • Article
  • Open Access
415 Views
19 Pages

MFF-Net: A Study on Soil Moisture Content Inversion in a Summer Maize Field Based on Multi-Feature Fusion of Leaf Images

  • Jianqin Ma,
  • Jiaqi Han,
  • Bifeng Cui,
  • Xiuping Hao,
  • Zhengxiong Bai,
  • Yijian Chen,
  • Yan Zhao and
  • Yu Ding

Current agricultural irrigation management practices are often extensive, and traditional soil moisture content (SMC) monitoring methods are inefficient, so there is a pressing need for innovative approaches in precision irrigation. This study propos...

  • Article
  • Open Access
4 Citations
2,012 Views
20 Pages

16 November 2023

Using the BISON fuel-performance code, simulations were conducted of an automated process to read initial and operating conditions from the Pacific Northwest National Laboratory (PNNL) database and reports, which contain metallic-fuel data from the F...

  • Article
  • Open Access
1 Citations
1,649 Views
26 Pages

MFF: A Multimodal Feature Fusion Approach for Encrypted Traffic Classification

  • Hong Huang,
  • Yinghang Zhou,
  • Feng Jiang,
  • Xiaolin Zhou and
  • Qingping Jiang

With the widespread adoption of encryption technologies, encrypted traffic classification has become essential for maintaining network security awareness and optimizing service quality. However, existing deep learning-based methods often rely on fixe...

  • Article
  • Open Access
22 Citations
2,816 Views
16 Pages

Forecasting of Short-Term Load Using the MFF-SAM-GCN Model

  • Yongqi Zou,
  • Wenjiang Feng,
  • Juntao Zhang and
  • Jingfu Li

25 April 2022

Short-term load forecasting plays a significant role in the operation of power systems. Recently, deep learning has been generally employed in short-term load forecasting, primarily in the extraction of the characteristics of digital information in a...

  • Article
  • Open Access
3 Citations
2,369 Views
16 Pages

1 November 2022

Acoustic signal classification plays a central role in acoustic source identification. In practical applications, however, varieties of training data are typically inadequate, which leads to a low sample complexity. Applying classical deep learning m...

  • Article
  • Open Access
2 Citations
1,263 Views
27 Pages

19 August 2025

Limited depth of field in modern optical imaging systems often results in partially focused images. Multi-focus image fusion (MFF) addresses this by synthesizing an all-in-focus image from multiple source images captured at different focal planes. Wh...

  • Article
  • Open Access
4 Citations
2,212 Views
15 Pages

MV-MFF: Multi-View Multi-Feature Fusion Model for Pneumonia Classification

  • Najla Alsulami,
  • Hassan Althobaiti and
  • Tarik Alafif

Pneumonia ranks among the most prevalent lung diseases and poses a significant concern since it is one of the diseases that may lead to death around the world. Diagnosing pneumonia necessitates a chest X-ray and substantial expertise to ensure accura...

  • Article
  • Open Access
2 Citations
1,473 Views
14 Pages

MFF-Net: A Lightweight Multi-Frequency Network for Measuring Heart Rhythm from Facial Videos

  • Wenqin Yan,
  • Jialiang Zhuang,
  • Yuheng Chen,
  • Yun Zhang and
  • Xiujuan Zheng

12 December 2024

Remote photo-plethysmography (rPPG) is a useful camera-based health motioning method that can measure the heart rhythm from facial videos. Many well-established deep learning models can provide highly accurate and robust results in measuring heart ra...

  • Article
  • Open Access
27 Citations
6,483 Views
14 Pages

MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion

  • Lei Zhao,
  • Mingcheng Zhang,
  • Hongwei Ding and
  • Xiaohui Cui

17 December 2021

Significant progress has been made in generating counterfeit images and videos. Forged videos generated by deepfaking have been widely spread and have caused severe societal impacts, which stir up public concern about automatic deepfake detection tec...

  • Article
  • Open Access
6 Citations
2,718 Views
21 Pages

Malware Variants Detection Model Based on MFF–HDBA

  • Shuo Wang,
  • Jian Wang,
  • Yafei Song,
  • Sicong Li and
  • Wei Huang

24 September 2022

A massive proliferation of malware variants has posed serious and evolving threats to cybersecurity. Developing intelligent methods to cope with the situation is highly necessary due to the inefficiency of traditional methods. In this paper, a highly...

  • Article
  • Open Access
6 Citations
2,125 Views
32 Pages

Application and Analysis of the MFF-YOLOv7 Model in Underwater Sonar Image Target Detection

  • Kun Zheng,
  • Haoshan Liang,
  • Hongwei Zhao,
  • Zhe Chen,
  • Guohao Xie,
  • Liguo Li,
  • Jinghua Lu and
  • Zhangda Long

18 December 2024

The need for precise identification of underwater sonar image targets is growing in areas such as marine resource exploitation, subsea construction, and ocean ecosystem surveillance. Nevertheless, conventional image recognition algorithms encounter s...

  • Article
  • Open Access
372 Views
29 Pages

MFF-Net: Flood Detection from SAR Images Using Multi-Frequency and Fuzzy Uncertainty Fusion

  • Yahui Gao,
  • Xiaochuan Wang,
  • Zili Zhang,
  • Xiaoming Chen,
  • Ruijun Liu and
  • Xiaohui Liang

29 December 2025

Synthetic Aperture Radar (SAR) images are highly valuable for detecting water surfaces characterized by low roughness and minimal microwave reflection, which makes them essential for flood detection. Despite these advantages, SAR imagery still faces...

  • Article
  • Open Access
11 Citations
3,156 Views
15 Pages

18 July 2023

Tunnel linings require routine inspection as they have a big impact on a tunnel’s safety and longevity. In this study, the convolutional neural network was utilized to develop the MFF-YOLO model. To improve feature learning efficiency, a multi-...

  • Article
  • Open Access
12 Citations
4,889 Views
18 Pages

Mitochondrial Calcium-Triggered Oxidative Stress and Developmental Defects in Dopaminergic Neurons Differentiated from Deciduous Teeth-Derived Dental Pulp Stem Cells with MFF Insufficiency

  • Xiao Sun,
  • Shuangshan Dong,
  • Hiroki Kato,
  • Jun Kong,
  • Yosuke Ito,
  • Yuta Hirofuji,
  • Hiroshi Sato,
  • Takahiro A. Kato,
  • Yasunari Sakai and
  • Keiji Masuda
  • + 2 authors

Mitochondrial fission factor (MFF) is an adapter that targets dynamin-related protein 1 from the cytosol to the mitochondria for fission. Loss-of-function MFF mutations cause encephalopathy due to defective mitochondrial and peroxisomal fission 2 (EM...

  • Article
  • Open Access
4 Citations
3,733 Views
14 Pages

12 November 2019

Mixed-flow fans (MFF) are widely used to reduce the heat stress in dairy cows in summer. Our research team developed MFFs with a newly shaped diffuser with the length of 250 mm and the circumferential angle of 150°, which have better performance...

  • Article
  • Open Access
7 Citations
3,566 Views
25 Pages

4 March 2019

Multi-Source RS data integration is a crucial technology for rock surface extraction in geology. Both Terrestrial laser scanning (TLS) and Photogrammetry are primary non-contact active measurement techniques. In order to extract comprehensive and acc...

  • Article
  • Open Access
1 Citations
1,214 Views
29 Pages

29 October 2025

Breast cancer is one of the most prevalent malignant tumors among women worldwide, underscoring the urgent need for early and accurate diagnosis to reduce mortality. To address this, A Multi-Feature Fusion Classification Network (MFF-ClassificationNe...

  • Article
  • Open Access
1,832 Views
18 Pages

The Internet of Things (IoT) generates vast amounts of data from numerous applications. However, since wireless channels are the primary means of communication, IoT networks are vulnerable to several security threats, which can compromise their secur...

  • Article
  • Open Access
5 Citations
3,302 Views
19 Pages

14 August 2023

Rice is one of the world’s three major food crops, second only to sugarcane and corn in output. Timely and accurate rice extraction plays a vital role in ensuring food security. In this study, R-Unet for rice extraction was proposed based on Se...

  • Article
  • Open Access
1,337 Views
18 Pages

GNN-MFF: A Multi-View Graph-Based Model for RTL Hardware Trojan Detection

  • Senjie Zhang,
  • Shan Zhou,
  • Panpan Xue,
  • Lu Kong and
  • Jinbo Wang

23 September 2025

The globalization of hardware design flows has increased the risk of Hardware Trojan (HT) insertion during the design phase. Graph-based learning methods have shown promise for HT detection at the Register Transfer Level (RTL). However, most existing...

  • Article
  • Open Access
19 Citations
4,101 Views
24 Pages

HFENet: Hierarchical Feature Extraction Network for Accurate Landcover Classification

  • Di Wang,
  • Ronghao Yang,
  • Hanhu Liu,
  • Haiqing He,
  • Junxiang Tan,
  • Shaoda Li,
  • Yichun Qiao,
  • Kangqi Tang and
  • Xiao Wang

28 August 2022

Landcover classification is an important application in remote sensing, but it is always a challenge to distinguish different features with similar characteristics or large-scale differences. Some deep learning networks, such as UperNet, PSPNet, and...

  • Article
  • Open Access
143 Views
16 Pages

MFF-AE: Enhanced Quality Control for Proteomics Mass Spectrometry Data via Multi-Scale Feature Fusion

  • Guangkui Fan,
  • Xinyu Ji,
  • Hunyue Liao,
  • Bo Meng,
  • Duotao Pan,
  • Jinze Huang and
  • Yang Zhao

25 February 2026

Mass spectrometry (MS) is a core analytical tool in proteomics, and the quality of the generated data directly determines the effectiveness of downstream analyses and the reliability of final research conclusions. While MS is also widely used in othe...

  • Article
  • Open Access
2 Citations
1,914 Views
21 Pages

LightMFF: A Simple and Efficient Ultra-Lightweight Multi-Focus Image Fusion Network

  • Xinzhe Xie,
  • Zijian Lin,
  • Buyu Guo,
  • Shuangyan He,
  • Yanzhen Gu,
  • Yefei Bai and
  • Peiliang Li

3 July 2025

In recent years, deep learning-based multi-focus image fusion (MFF) methods have demonstrated remarkable performance. However, their reliance on complex network architectures often demands substantial computational resources, limiting practical appli...

  • Review
  • Open Access
37 Citations
9,977 Views
35 Pages

20 July 2023

Mitochondria, which generate ATP through aerobic respiration, also have important noncanonical functions. Mitochondria are dynamic organelles, that engage in fission (division), fusion (joining) and translocation. They also regulate intracellular cal...

  • Review
  • Open Access
134 Citations
16,874 Views
29 Pages

Mitochondria, the membrane-bound cell organelles that supply most of the energy needed for cell function, are highly regulated, dynamic organelles bearing the ability to alter both form and functionality rapidly to maintain normal physiological event...

  • Article
  • Open Access
11 Citations
3,070 Views
15 Pages

State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model

  • Pengyu Fu,
  • Liang Chu,
  • Zhuoran Hou,
  • Zhiqi Guo,
  • Yang Lin and
  • Jincheng Hu

5 November 2022

Existing data-driven technology for prediction of state of health (SOH) has insufficient feature extraction capability and limited application scope. To deal with this challenge, this paper proposes a battery SOH prediction model based on multi-featu...

  • Article
  • Open Access
6 Citations
3,532 Views
19 Pages

Serum Metabolomics Profiling of Commercially Mixed Functional Foods—Effects in Beta-Amyloid Induced Rats Measured Using 1H NMR Spectroscopy

  • Nur Hasnieza Mohd Rosli,
  • Hanis Mastura Yahya,
  • Farah Wahida Ibrahim,
  • Suzana Shahar,
  • Intan Safinar Ismail,
  • Amalina Ahmad Azam and
  • Nor Fadilah Rajab

12 December 2020

Functional foods such as pomegranate, dates and honey were shown by various previous studies to individually have a neuroprotective effect, especially in neurodegenerative disease such as Alzheimer’s disease (AD). In this novel and original stu...

  • Article
  • Open Access
10 Citations
3,409 Views
18 Pages

Dynamic Programming Ring for Point Target Detection

  • Jingneng Fu,
  • Hui Zhang,
  • Wen Luo and
  • Xiaodong Gao

22 January 2022

To improve the detection efficiency of a long-distance dim point target based on dynamic programming (DP), this paper proposes a multi-frame target detection algorithm based on a merit function filtering DP ring (MFF-DPR). First, to reduce the influe...

  • Article
  • Open Access
686 Views
34 Pages

10 November 2025

Coconut yield and quality are significantly affected by multiple female inflorescences (MFF), which disrupt flower differentiation balance. To elucidate the molecular mechanisms, we compared MFF with normal female inflorescences (NFF) using phenotypi...

  • Article
  • Open Access
17 Citations
4,800 Views
16 Pages

Analysis of Factors Affecting Quality of Life in Patients Treated for Maxillofacial Fractures

  • Maciej Sikora,
  • Mikołaj Chlubek,
  • Elżbieta Grochans,
  • Anna Jurczak,
  • Krzysztof Safranow and
  • Dariusz Chlubek

Maxillofacial fractures (MFF) belong to the major modern medicine and public health concerns. The recovery from MFF is associated with a number of social problems. The patient’s mood may be affected by the change in self-image and lack of satis...

  • Article
  • Open Access
3,615 Views
13 Pages

Antimicrobial Properties of a Peptide Derived from the Male Fertility Factor kl2 Protein of Drosophila melanogaster

  • Bernadetta Bilska,
  • Urszula Godlewska,
  • Milena Damulewicz,
  • Krzysztof Murzyn,
  • Mateusz Kwitniewski,
  • Joanna Cichy and
  • Elżbieta Pyza

28 February 2022

Antimicrobial peptides (AMPs) are important components of innate immunity. Here, we report the antimicrobial properties of a peptide derived from the Male fertility factor kl2 (MFF-kl2) protein of Drosophila melanogaster, which was identified as a fu...

  • Article
  • Open Access
6 Citations
2,508 Views
15 Pages

Modulation Format Identification and OSNR Monitoring Based on Multi-Feature Fusion Network

  • Jingjing Li,
  • Jie Ma,
  • Jianfei Liu,
  • Jia Lu,
  • Xiangye Zeng and
  • Mingming Luo

In this paper, we propose a multi-feature fusion network (MFF-Net) for a modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring scheme. The constellation map data used in this work comes from five modulation format...

  • Article
  • Open Access
3 Citations
2,605 Views
13 Pages

28 September 2022

Pneumonia is a severe inflammation of the lung that could cause serious complications. Chest X-rays (CXRs) are commonly used to make a diagnosis of pneumonia. In this paper, we propose a deep-learning-based method with spatial attention superposition...

  • Article
  • Open Access
4 Citations
5,230 Views
20 Pages

27 October 2017

Integrating spectral and spatial information is proved effective in improving the accuracy of hyperspectral imagery classification. In recent studies, two kinds of approaches are widely investigated: (1) developing a multiple feature fusion (MFF) str...

  • Article
  • Open Access
10 Citations
2,954 Views
18 Pages

Comparison of Hyperspectral Imaging and Microvascular Doppler for Perfusion Monitoring of Free Flaps in an In Vivo Rodent Model

  • Philipp Becker,
  • Sebastian Blatt,
  • Andreas Pabst,
  • Diana Heimes,
  • Bilal Al-Nawas,
  • Peer W. Kämmerer and
  • Daniel G. E. Thiem

16 July 2022

To reduce microvascular free flap failure (MFF), monitoring is crucial for the early detection of malperfusion and allows timely salvage. Therefore, the aim of this study was to evaluate hyperspectral imaging (HSI) in comparison to micro-Doppler sono...

  • Case Report
  • Open Access
5 Citations
4,525 Views
7 Pages

Chemical Pneumonitis Caused by the Inhalation of Zinc Oxide Fumes in an Arc Welder

  • Eun-Woo Cha,
  • Doosoo Jeon,
  • Dongmug Kang,
  • Young-Ki Kim and
  • Se-Yeong Kim

Acute respiratory illness caused by exposure to welding-associated zinc oxide fumes is known as metal fume fever (MFF). MFF is generally characterized as a self-limiting disease. Few studies have reported chemical pneumonitis associated with zinc fum...

  • Article
  • Open Access
4 Citations
2,898 Views
12 Pages

Elsholtzia ciliata Essential Oil Exhibits a Smooth Muscle Relaxant Effect

  • Irma Martišienė,
  • Vilma Zigmantaitė,
  • Lauryna Pudžiuvelytė,
  • Jurga Bernatonienė and
  • Jonas Jurevičius

15 October 2023

A recent in vivo study in pigs demonstrated the hypotensive properties of essential oil extracted from the blossoming plant Elsholtzia ciliata. This study was designed to examine the effect of E. ciliata essential oil (EO) on smooth muscle contractio...

  • Review
  • Open Access
15 Citations
6,101 Views
32 Pages

Fission Impossible (?)—New Insights into Disorders of Peroxisome Dynamics

  • Ruth E. Carmichael,
  • Markus Islinger and
  • Michael Schrader

14 June 2022

Peroxisomes are highly dynamic and responsive organelles, which can adjust their morphology, number, intracellular position, and metabolic functions according to cellular needs. Peroxisome multiplication in mammalian cells involves the concerted acti...

  • Article
  • Open Access
8 Citations
4,138 Views
15 Pages

A rapid and simplified sample preparation method was developed for the simultaneous determination of 26 beta-agonists in swine muscle using a multi-functional filter (MFF) based on quick, easy, cheap, effective, rugged, and safe methods (QuEChERS). M...

  • Article
  • Open Access
7 Citations
3,638 Views
15 Pages

Effect of Percutaneous Electric Stimulation with High-Frequency Alternating Currents on the Sensory-Motor System of Healthy Volunteers: A Double-Blind Randomized Controlled Study

  • David Martín-Caro Álvarez,
  • Diego Serrano-Muñoz,
  • Juan José Fernández-Pérez,
  • Julio Gómez-Soriano and
  • Juan Avendaño-Coy

25 March 2022

Former studies investigated the application of high-frequency alternating currents (HFAC) in humans for blocking the peripheral nervous system. The present trial aims to assess the effect of HFAC on the motor response, somatosensory thresholds, and p...

  • Article
  • Open Access
3 Citations
1,303 Views
15 Pages

21 December 2024

The main purpose of this study is to prepare a melamine aniline formaldehyde foam, an MAF copolymer, with lower water sensitivity and non-flammability properties obtained by the condensation reaction of melamine, aniline, and formaldehyde. In additio...

  • Article
  • Open Access
613 Views
22 Pages

28 November 2025

This study proposes an Attention Mechanism–Multi-Feature Fusion Physics-Informed Neural Network (AM-MFF-PINN) for accurate and physically consistent estimation of the State of Health (SOH) of lithium-ion batteries in practical battery managemen...

  • Article
  • Open Access
18 Citations
4,604 Views
19 Pages

4 February 2021

Brachyspira hyodysenteriae is an etiological agent of swine dysentery (SD). Diet fermentability plays a role in development of SD, but the mechanism(s) of action are largely unknown. Thus, this study aimed to determine whether replacing lowly ferment...

  • Article
  • Open Access
1 Citations
2,466 Views
12 Pages

Diversity of Metal—Fullerene Framework Structures Regulated by Metal Salts

  • Jingjing Wang,
  • Yang-Rong Yao,
  • Shaoting Yang,
  • Xinyi Zhou,
  • Ao Yu,
  • Ping Peng and
  • Fang-Fang Li

12 April 2022

Taking into account the diversity of fullerene ligands and metal salts, metal–fullerene frameworks (MFFs) present a variety of structures. Currently, the structural control of MFFs mainly relies on the design and synthesis of fullerene ligands,...

  • Article
  • Open Access
5 Citations
1,430 Views
24 Pages

Background/Objectives: In 4-octylphenol (4-OP), a toxic environmental pollutant with endocrine disruptive effect, the use of 4-OP causes pollution in the freshwater environment and poses risks to aquatic organisms. Common carps (Cyprinus carpio L.) l...

  • Article
  • Open Access
3 Citations
2,195 Views
19 Pages

Low-visibility maritime image enhancement is essential for maritime surveillance in extreme weathers. However, traditional methods merely optimize contrast while ignoring image features and color recovery, which leads to subpar enhancement outcomes....

  • Article
  • Open Access
1 Citations
1,647 Views
18 Pages

Investigating the functional interactions between rumen microbial fermentation and epithelial mitochondrial dynamics/energy metabolism in Tibetan sheep at different altitudes, this study examined ultrastructural changes in rumen epithelial tissues, e...

  • Article
  • Open Access
6 Citations
3,026 Views
14 Pages

30 March 2021

The age of Mars yardangs is significant in studying their development and the evolution of paleoclimate conditions. For planetary surface or landforms, a common method for dating is based on the frequency and size distribution of all the superposed c...

  • Review
  • Open Access
36 Citations
8,064 Views
18 Pages

Redox Modifications of Proteins of the Mitochondrial Fusion and Fission Machinery

  • Christina Wolf,
  • Víctor López del Amo,
  • Sabine Arndt,
  • Diones Bueno,
  • Stefan Tenzer,
  • Eva-Maria Hanschmann,
  • Carsten Berndt and
  • Axel Methner

27 March 2020

Mitochondrial fusion and fission tailors the mitochondrial shape to changes in cellular homeostasis. Players of this process are the mitofusins, which regulate fusion of the outer mitochondrial membrane, and the fission protein DRP1. Upon specific st...

of 3