International Journal of Information Technology最新文献

Implementing a hybrid machine learning technique that merges SVM with KNN to anticipate students' academic achievements 实现一种混合机器学习技术，将支持向量机与KNN相结合，预测学生的学业成绩

International Journal of Information Technology Pub Date : 2025-11-21 DOI: 10.1007/s41870-025-02866-6

Minakshi Sharma, Vibhakar Mansotra

引用次数: 2

WOA-HDCN-SWS: whale optimization algorithm based hierarchical dense connection network for the prognosis of Sturge-Weber syndrome WOA-HDCN-SWS：基于鲸鱼优化算法的分层密集连接网络对Sturge-Weber综合征预后的影响

International Journal of Information Technology Pub Date : 2025-08-14 DOI: 10.1007/s41870-025-02662-2

R. Kishore Kanna, Ankita Runani, Uzzal Sharma, V. Reshma, Priyanka Malakar, Lakhveer Singh, S. Sowmiya

引用次数: 1

Evaluation of Random Forest algorithms for mapping of land use land cover using remote sensing data for Baitarani River 白塔拉尼河土地利用土地覆盖遥感制图随机森林算法评价

International Journal of Information Technology Pub Date : 2025-02-11 DOI: 10.1007/s41870-025-02411-5

Sonali Kadam, Anjali Kadam, Sae Jamdade, Namrata Rathi, Apurva Gadilkar, Chahal ohri, Jotiram Gujar, Ravindra Kale

引用次数: 10

HHO-UNet-IAA: Harris Hawks Optimization based novel UNet-inception attention architecture for glaucoma segmentation HHO-UNet-IAA：基于Harris Hawks优化的新颖UNet-inception注意力架构用于青光眼分割

International Journal of Information Technology Pub Date : 2025-01-29 DOI: 10.1007/s41870-025-02417-z

Tathagat Banerjee, Yusera Farooq Khan, Tabasum Rafiq, Shalini Singh, Ritika Wason, Gagandeep Singh Narula

引用次数: 14

Swarm-driven fine-tuned hybrid transfer learningarchitecture on breast ultrasound scans for advanced prognostic 群体驱动的微调混合迁移学习架构在乳腺超声扫描中的高级预后

International Journal of Information Technology Pub Date : 2024-12-29 DOI: 10.1007/s41870-024-02329-4

Yusera Farooq Khan, Ankita Runani, Bilal Ahmed Mir

引用次数: 3

An optimized IoT based framework for enhancing mushroom cultivation 一种优化的基于物联网的蘑菇栽培框架

International Journal of Information Technology Pub Date : 2024-12-18 DOI: 10.1007/s41870-024-02343-6

Nisha Aggarwal, Dinesh Singh, Ajay Singh

引用次数: 2

Statistical cryptanalysis of seven classical lightweight ciphers 七种经典轻量级密码的统计密码分析

International Journal of Information Technology Pub Date : 2024-09-18 DOI: 10.1007/s41870-024-02175-4

Runa Chatterjee, Rajdeep Chakraborty

{"title":"Statistical cryptanalysis of seven classical lightweight ciphers","authors":"Runa Chatterjee, Rajdeep Chakraborty","doi":"10.1007/s41870-024-02175-4","DOIUrl":"https://doi.org/10.1007/s41870-024-02175-4","url":null,"abstract":"The smart world currently employs smart devices that are inextricably linked with everyday life. These smart devices are lightweight due to their small size, low memory capacity, low-power batteries, and limited computational capability.Conventional cryptographic algorithms aren’t applicable there. This demand leads to the development of lightweight cryptography (LWC). In various literature surveys, many researchers analysed lightweight ciphers in terms of area, throughput, latency, power consumption, energy dissipation, encryption-decryption time, etc. However, no single paper includes a variety of statistical cryptanalysis of LWCs. Such a type of bit-level data analysis checks the vulnerabilities of algorithms against different kinds of attacks. It ensures the difficulties of cryptanalysis. This paper has included seven classical lightweight ciphers PRESENT, SIMON, TEA, SPECK, CLEFIA, MICKEY2.0, and GRAIN V1, for statistical data analysis. The analysis includes non-homogeneity, avalanche ratio, entropy, floating frequency, frequency distribution, auto-correlation, periodicity, 4-gram pattern analysis.Moreover, four randomness like frequency, serial, run, and poker tests are also added. Finally, a comparative and compact discussion has made on ciphers’ efficiency. This study makes a trade-off, which proves the uniqueness of this work. It opens a new window for the upcoming researchers to search their work area.","PeriodicalId":14138,"journal":{"name":"International Journal of Information Technology","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CNN-BO-LSTM: an ensemble framework for prognosis of liver cancer CNN-BO-LSTM：肝癌预后的集合框架

International Journal of Information Technology Pub Date : 2024-09-18 DOI: 10.1007/s41870-024-02190-5

Sunil Kumar K N, Pavan P. Kashyap, Darshan A. Bhyratae, Suhas A. Bhyratae, A. Kalaivani

{"title":"CNN-BO-LSTM: an ensemble framework for prognosis of liver cancer","authors":"Sunil Kumar K N, Pavan P. Kashyap, Darshan A. Bhyratae, Suhas A. Bhyratae, A. Kalaivani","doi":"10.1007/s41870-024-02190-5","DOIUrl":"https://doi.org/10.1007/s41870-024-02190-5","url":null,"abstract":"Computer-assisted diagnosis (CAD) is preferred for cancer identification across the globe, which relies on computerized image processing. The creation of previous CAD instruments involved a semi-automated approach that employed traditional deep learning techniques. Such techniques are not well versed with CAD instruments in terms of accuracy. Therefore, the given manuscript presents a convolutional neural network normalized architecture embedded with Bayesian optimization and long short-term memory (CNN-BO-LSTM) for the identification of liver cancer. Early pre-processing is done on the input magnetic resonance imaging (MRI) scan images to improve clarity. Next, we used dynamic binary classification to apply the accurate and region of interest (ROI) extracting approach. It is followed by automatic retrieval of CNN-based appearances from the ROI approach. For classification purposes, LSTM is used, which categorizes the images as benign or malignant. The proposed design’s testing outcomes, which combine characteristics with CNN-based ROI extraction and LSTM classification, surpassed the current state-of-the-art techniques.","PeriodicalId":14138,"journal":{"name":"International Journal of Information Technology","volume":"99 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RBCA-ETS: enhancing extractive text summarization with contextual embedding and word-level attention RBCA-ETS：利用上下文嵌入和词级关注加强提取式文本摘要

International Journal of Information Technology Pub Date : 2024-09-17 DOI: 10.1007/s41870-024-02192-3

Ravindra Gangundi, Rajeswari Sridhar

{"title":"RBCA-ETS: enhancing extractive text summarization with contextual embedding and word-level attention","authors":"Ravindra Gangundi, Rajeswari Sridhar","doi":"10.1007/s41870-024-02192-3","DOIUrl":"https://doi.org/10.1007/s41870-024-02192-3","url":null,"abstract":"The existing limitations in extractive text summarization encompass challenges related to preserving contextual features, limited feature extraction capabilities, and handling hierarchical and compositional aspects. To address these issues, the RoBERTa-BiLSTM-CNN-Attention Extractive Text Summarization, i.e., the RBCA-ETS model, is proposed in this work. RoBERTa word embedding is used to generate contextual embeddings. Parallelly connected CNN and BiLSTM layers extract textual features. CNN focuses more on local features, and BiLSTM captures long-range dependencies that extend across sentences. These two feature sets are concatenated and forwarded to the attention layer, highlighting the most relevant features. In the output layer, a fully connected layer receives the attention vector and calculates sentence scores for each sentence. This leads to the generation of the final summary. The RBCA-ETS model has demonstrated superior performance on the CNN-Daily Mail (CNN/DM) dataset compared to many state-of-the-art methods, and it has also outperformed existing state-of-the-art techniques when tested on the out-of-domain DUC 2002 dataset.","PeriodicalId":14138,"journal":{"name":"International Journal of Information Technology","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Architecting lymphoma fusion: PROMETHEE-II guided optimization of combination therapeutic synergy 构建淋巴瘤融合：PROMETHEE-II 指导下的联合疗法协同效应优化

International Journal of Information Technology Pub Date : 2024-09-17 DOI: 10.1007/s41870-024-02194-1

Syed Anas Ansar, Swati Arya, Nupur Soni, Mohd Waris Khan, Raees Ahmad Khan

{"title":"Architecting lymphoma fusion: PROMETHEE-II guided optimization of combination therapeutic synergy","authors":"Syed Anas Ansar, Swati Arya, Nupur Soni, Mohd Waris Khan, Raees Ahmad Khan","doi":"10.1007/s41870-024-02194-1","DOIUrl":"https://doi.org/10.1007/s41870-024-02194-1","url":null,"abstract":"Lymphoma, a malignancy originating from the aberrant proliferation of lymphocytes in the lymphatic system, becomes one of the prime concerns in health care across the world. The traditional, mono-therapeutic interventions using chemotherapeutic agents and radiation showed limitations in relation to disease control, suboptimal response, and development of intractable drug resistance. This study thus opens the reasons for combination therapies in detail by explaining the intrinsic rationale and revealing the intrinsic advantages of lymphoma treatment with an initiative underpinned by scrupulous analysis. Furthermore, the broad analysis had comparisons between combination therapies, were derived from studies, clinical trials, and actual instances. Key performance metrics like as overall response rates, progression-free survival, and overall survival, together with a thorough review of safety profiles, are used to determine the efficacy and long-term tolerability of various combination regimens. Using the PROMETHEE-II technique, this study has attempted to offer a comprehensive knowledge of the complex therapeutic landscape by addressing various issues and factors such as drug-disease interactions, toxicities, cost-effectiveness, and accessibility. This study avails practitioners and researchers with indelible understanding that seeks to enhance the optimum therapeutic trajectory and evidence-based decision-making toward an improved outcome of treatment in lymphoma.","PeriodicalId":14138,"journal":{"name":"International Journal of Information Technology","volume":"189 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0