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Context feature fusion and enhanced non-maximum suppression for pedestrian detection in crowded scenes Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Yu Shao, Jianhua Hu, Lihua Hu, Jifu Zhang, Xinbo Wang
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Image splicing forgery detection: A review Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Ritesh Kumari, Hitendra Garg
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High-fidelity reversible data hiding using novel comprehensive rhombus predictor Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Rajeev Kumar, Roberto Caldelli, KokSheik Wong, Aruna Malik, Ki-Hyun Jung
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Evaluation of machine learning models for mapping soil salinity in Ben Tre province, Vietnam Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik
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Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16
Abstract In recent years, the demand for automatic crowd behavior analysis has surged, driven by the need to ensure public safety and minimize casualties during events of public and religious significance. However, effectively analyzing the nonlinearities present in real-world crowd images and videos remains a challenge. To address this, research proposes a novel approach leveraging deep learning (DL)
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Research on person re-identification based on multi-level attention model Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16
Abstract Person Re-identification (ReID) is an important research direction in the field of pattern recognition, which aims to retrieve the same pedestrian in different cameras. The combination of deep learning and attention mechanism greatly improves the accuracy of image retrieval, but previous researchers usually use on-channel or spatial convolution to learn attention, ignoring the connection between
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A cohesive forgery detection for splicing and copy-paste in digital images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Saurabh Agarwal, Savita Walia, Ki-Hyun Jung
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Wavelet transform-assisted generative model for efficient 3d deep shape generation Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Zhihao Liao, Kai Xu
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Modified fuzzy based neuro networks for the prediction of common thorax diseases Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 C. Ashok Kumar, R. Lakshmi Priya, I. Ambika, C. Mahiba
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R-GCN: a residual-gated recurrent unit convolution network model for anomaly detection in blockchain transactions Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 R. Rajmohan, T. Ananth Kumar, S. G. Sandhya, Yu-Chen Hu
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PMA-KDP: privacy-preserving mutual authentication and key distribution protocol in Vehicular Ad-hoc Networks (VANETs) Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-16 Pranav Sahu, Vinod Kumar, Khushboo Gupta, Ram Prakash
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Inter-intra feature for the complementary convolutional neural network in the effective classification of epileptic seizures Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15
Abstract The electrical activity of the brain can be monitored using the electroencephalogram (EEG), which can be used in the detection of seizures. This paper proposes an epileptic seizure detection algorithm that uses inter-intra Head-body-tail (HBT) features. Initially, the EEG signals are subdivided into non-overlapping frames. From each frame, three regions namely head (H), body (B), and tail
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Person identification using autoencoder-CNN approach with multitask-based EEG biometric Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 Banee Bandana Das, Saswat Kumar Ram, Korra Sathya Babu, Ramesh Kumar Mohapatra, Saraju P. Mohanty
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Retinal blood vessel segmentation using a deep learning method based on modified U-NET model Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15
Abstract Retinal blood vessel segmentation is important for detection of several highly prevalent, vision-threatening diseases such as diabetic retinopathy. Automatic retinal blood vessel segmentation is crucial to overcome the limitations posed by diagnoses by doctors. In recent times, deep learning-based methods have achieved great success in automatically segmenting retinal blood vessels from images
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Holographic encryption algorithm based on DNA coding and bit-plane decomposition Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 Zheng Liang, Li Chen, Kai Chen, Zhenhui Liang, Kunhua Wen, Jiawei Zhu, Yihua Hu
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An optimized deep learning framework to enhance internet of things and fog based health care monitoring paradigm Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 Vuppala Sukanya, Prashant B. Jawade, M. Jayanthi
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RE-STNet: relational enhancement spatio-temporal networks based on skeleton action recognition Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 Hongwei Chen, Shiqi He, Zexi Chen
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Enhanced entropy based reinforcement learning hotel recommendation system Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 G. Jai Arul Jose, Qasim AlAjmi
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Smart system for identifying the various pathologies in MR brain image using Monkey Search based Interval Type-II Fuzzy C-Means technique Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 Harish Garg, Saravanan Alagarsamy, D. Nagarajan, A. Senthilkumar
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A deep learning-based model for biotic rice leaf disease detection Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15 Amandeep Kaur, Kalpna Guleria, Naresh Kumar Trivedi
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Quantum-secure content key delivery mechanism for DRM system Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-15
Abstract As a result of the development of digital and internet technologies, digital content theft has become a major problem for the multimedia industry. Piracy is controlled by digital rights management (DRM) system. Multimedia on mobile devices is a novel idea for businesses where security is crucial. Numerous anonymous authentication schemes for mobile-DRM (M-DRM) systems have been developed during
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COVID-19 classification in X-ray/CT images using pretrained deep learning schemes Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Narenthira Kumar Appavu, Nelson Kennedy Babu C, Seifedine Kadry
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YOLO-based Object Detection Models: A Review and its Applications Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Ajantha Vijayakumar, Subramaniyaswamy Vairavasundaram
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Identification of key performance indicators using hybrid COPRAS-TOPSIS for urban public transit systems by evaluating with AHP and FAHP Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14
Abstract Development of urban transport facilities via analysing indicators has become one of the new domains explored worldwide, as cities are growing with no control. The present state of sustainability testing practices feels that technical analysis is rather very complex collaboratively and comprehensively met with local statements. As a result, developing indicators assessment techniques has become
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Speaker independent recognition of low-resourced multilingual Arabic spoken words through hybrid fusion Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Sunakshi Mehra, Virender Ranga, Ritu Agarwal, Seba Susan
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A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Sannasi Ganapathy, Vikrant Thoidingjam, Amrit Sen
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An analysis of perfume packaging designs on consumer’s cognitive and emotional behavior using eye gaze tracking Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Nandini Modi, Jaiteg Singh
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Understanding people’s attitudes in IoT systems using wellness probes and TF-IDF data analysis Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Sanghun Sul, Seung-Beom Cho
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An innovative image encryption algorithm enhanced with the Pan-Tompkins Algorithm for optimal security Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14
Abstract This study introduces a cutting-edge image encryption algorithm aimed at elevating security standards. The Pan-Tompkins Algorithm (PTA) for key generation is proposed for the first time in this study. Additionally, employing steganography through the Least Significant Bit (LSB) method for embedding keys within the encrypted image enhances secure key distribution, thereby fortifying the encryption
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Automatic identification of preferred music genres: an exploratory machine learning approach to support personalized music therapy Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14
Abstract Music accompanies all phases of our lives, and when we reach old age, music becomes a direct symbol of nostalgia. Autobiographical memories are essential to an individual’s sense of identity, continuity, and meaning. But some pathologies, such as dementia, can interrupt the memory storage process. Music can help recall and evoke memories and can be used in alternative treatments for dementia
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Neonatal Seizure detection using GLCM feature extraction & AlexNet classification Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Ben M. Jebin, M. Anline Rejula, G. Eberlein
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An improved personal protective equipment detection method based on YOLOv4 Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Rengjie Qiao, Chengtao Cai, Haiyang Meng, Kejun Wu, Feng Wang, Jie Zhao
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Globally and locally tuned filtering structure for high contrast intensity degradation Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Pallavi Singh, Ashish Kumar Bhandari
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Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 M. D. Anto Praveena, P. Udayaraju, R. Krishna Chaitanya, S. Jayaprakash, M. Kalaiyarasi, S. Ramesh
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Machine learning based human mental state classification using wavelet packet decomposition-an EEG study Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 V. G. Rajendran, S. Jayalalitha, K. Adalarasu, R. Mathi
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Wheat crop classification using deep learning Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Harmandeep Singh Gill, Bikramjit Singh Bath, Rajanbir Singh, Amarinder Singh Riar
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A separable privacy-preserving technique based on reversible medical data hiding in plaintext encrypted images using neural network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-14 Hui Shi, Ziyi Zhou, Jianhao Qin, Hao Sun, Yonggong Ren
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Selective encryption of video frames using the one-time random key algorithm and permutation techniques for secure transmission over the content delivery network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract In the last few years, the volume of internet traffic has increased enormously. A significant portion of the internet traffic is constituted by applications that stream multimedia data from one part of the world to another. The enormity of the video data requires the Content Delivery Network to distribute the content efficiently and securely among the consumers. The secure and authenticated
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Diagnosis and detection of diabetic retinopathy based on transfer learning Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Kailai Liu, Ting Si, Chuanyi Huang, Yiran Wang, Huan Feng, Jiarui Si
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Big data analysis on medical field for drug recommendation using apriori algorithm and deep learning Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract Drug recommendation in the medical field is a challenging real-world task to choose the best medications to give patients based on their medical histories and symptoms. In this designed model the primary intention of this model is to recommend the Drugs for patients. Drug review data are collected as a dataset. These collected data are pre-processed using the missing value replacement method
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Student academic performance prediction enhancement using t-SIDSBO and Triple Voter Network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 S. Muthuselvan, S. Rajaprakash, R. Jaichandran, Johns Antony, Amal P U, Ijas V A
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Bio-Inspired algorithms for secure image steganography: enhancing data security and quality in data transmission Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract The proliferation of data sharing over the Internet has given rise to pressing concerns surrounding data security. Addressing these concerns, steganography emerges as a viable mechanism to safeguard data during transmission. It involves concealing messages within other media, such as images, exchanged over networks. In this research, we propose an innovative image steganography approach by
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Video watermarking technique using motion vectors to video authentication Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Salah Dhahri, Tarek Moulahi
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A lightweight capsule network via channel-space decoupling and self-attention routing Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Yifan Guo, Sulan Zhang, Chunmei Zhang, Hongli Gao, Huajie Li
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SpFusionNet: deep learning-driven brain image fusion with spatial frequency analysis Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract In the domain of multi-focus (MF) and multi-model image fusion (MMIF), accurately merging focused regions from various images remains a challenge. Existing methods often fall short of capturing the nuances of depth-of-field variations, leading to sub-optimal fusion outcomes. This research introduces a novel approach, utilizing both supervised and unsupervised deep learning techniques. Unlike
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Different gait combinations based on multi-modal deep CNN architectures Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract Gait recognition is the process of identifying a person from a distance based on their walking patterns. However, the recognition rate drops significantly under cross-view angle and appearance-based variations. In this study, the effectiveness of the most well-known gait representations in solving this problem is investigated based on deep learning. For this purpose, a comprehensive performance
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Intelligent resource optimization for scalable and energy-efficient heterogeneous IoT devices Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Shivani Gupta, Nileshkumar Patel, Ajay Kumar, Neelesh Kumar Jain, Pranav Dass, Rajalaxmi Hegde, A. Rajaram
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GFGDA: general framework for generating dungeons with atmosphere Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract The atmosphere is one of the game elements that can significantly influence player's emotions. However, creating an immersive atmosphere that effectively influences player emotions poses several challenges, necessitating the utilization of various elements, such as audio-visual coordination and gameplay design. This paper introduces a general framework for procedurally generating dungeons
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OARPD: occlusion-aware rotated people detection in overhead fisheye images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract The mainstream rotated object detection primarily focus on remote sensing images. However, people detection under fisheye images, compared to remote sensing image detection tasks, often faces significant occlusion phenomena. Currently, there is a lack of comprehensive research specifically targeting occlusion issues in overhead fisheye images. Therefore, this paper proposes an occlusion-aware
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Computer vision for wildfire detection: a critical brief review Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Leo Ramos, Edmundo Casas, Eduardo Bendek, Cristian Romero, Francklin Rivas-Echeverría
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DIFDD: Deep intelligence framework for disease detection using patients electrocardiogram signals and X-ray images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Shimpy Goyal, Rajiv Singh
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Background subtraction for video sequence using deep neural network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Yuan Dai, Long Yang
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An evolutionary KNN model for DDoS assault detection using genetic algorithm based optimization Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Fizza Rizvi, Ravi Sharma, Nonita Sharma, Manik Rakhra, Arwa N. Aledaily, Wattana Viriyasitavat, Kusum Yadav, Gaurav Dhiman, Amandeep Kaur
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Quantification of tremor dynamics via video-based analysis Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Seung-Hwan Lee, Dongseop Lee, Jihoon Park, Jae-Min Shim, Baeksop Kim
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An improved federated deep learning for plant leaf disease detection Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13
Abstract Leaf diseases are hazardous to the yield and quality of food crops. There are many deep learning algorithms developed for their detection that may require large computational resources to train a single model with voluminous amounts of data. In the agriculture domain, various plant diseases are found across the country. Accumulating such a huge dataset from various regions is a tedious task
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Multivariate sequence prediction for graph convolutional networks based on ESMD and transfer entropy Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-13 Xin Li, Guoqiang Tang
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Plant disease identification using a novel time-effective CNN architecture Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-12 Srabani Biswas, Ipsita Saha, Abanti Deb
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Frequency-importance gaussian splatting for real-time lightweight radiance field rendering Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-12 Lizhe Chen, Yan Hu, Yu Zhang, Yuyao Ge, Haoyu Zhang, Xingquan Cai
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Deep ensemble model for sequence-based prediction of PPI: Self improved optimization assisted intelligent model Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-12
Abstract PPIs play a significant function in many biological processes. In many different areas, DL algorithms have delivered excellent results, but PPI prediction is one where they fall short. To offer a sequence-based prediction of PPI, this work employs a deep ensemble model. In the beginning, traits including "enhanced semantic similarity, features based on gene ontologies, and sequence-based features"
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Adversarial deep learning for improved abdominal organ segmentation in CT scans Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-12 Lakshmana Phaneendra Maguluri, Kuldeep Chouhan, R. Balamurali, R. Rani, Arshad Hashmi, Ajmeera Kiran, A. Rajaram