1 10 6 https://repository.horizon.ac.id/files/original/77818edd4eb4a27aab1d587966daa51b.pdf 4ee4ebbab0dd4e938745d444c131ed5d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 11 NO. 4 (2022) AUGUST 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mutation Based Hybrid Routing Algorithm for Mobile Ad-hoc Networks Subject The topic of the resource Mobile Ad – Hoc Networks; AODV; AOMDV; Ant – AODV; Genetic Mutation; Residual energy; Packet Delivery Ratio; Throughput; End – to – end delay Description An account of the resource Mobile Adhoc NETworks (MANETs) usually present challenges such as a highly dynamic topology due to node mobility, route rediscovery process, and packet loss. This leads to low throughput, a lot of energy consumption, delay and low packet delivery ratio. In order to ensure that the route is not rediscovered over and over, multipath routing protocols such as Adhoc Multipath Distance Vector (AOMDV) is used in order to utilize the alternate routes. However, nodes that have low residual energy can die and add to the problem of disconnection of network and route rediscovery. This paper proposes a multipath routing algorithm based on AOMDV and genetic mutation. It takes into account residual energy, hop count, congestion and received signal strength for primary route selection. For secondary path selection it uses residual energy, hop count, congestion and received signal strength together with mutation. The simulation results show that the proposed algorithm gives better performance results compared to AOMDV by 11% for residual energy, 45% throughput, 3% packet delivery ratio, and 63% less delay. Creator An entity primarily responsible for making the resource Wilson M. Musyoka1,2, Andrew Omala, Charles Katila, Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource August 2022 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/1ef38281435204990bbab02e657a5247.pdf ebbacfcb0f807d901790ad58ae8d5000 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 11 NO. 4 (2022) AUGUST 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Feature Extraction using Histogram of Oriented Gradients for Image Classification in Maize Leaf Diseases Subject The topic of the resource Feature extraction, ORB, HOG, KAZE, Image classification, machine learning, and classifier Description An account of the resource The paper presents feature extraction methods and classification algorithms used to classify maize leaf disease images. From maize disease images, features are extracted and passed to the machine learning classification algorithm to identify the possible disease based on the features detected using the feature extraction method. The maize disease images used include images of common rust, leaf spot, and northern leaf blight and healthy images. An evaluation was done for the feature extraction method to see which feature extraction method performs best with image classification algorithms. Based on the evaluation, the outcomes revealed Histogram of Oriented Gradients performed best with classifiers compared to KAZE and Oriented FAST and rotated BRIEF. The random forest classifier emerged the best in terms of image classification, based on four performance metrics which are accuracy, precision, recall, and F1-score. The experimental outcome indicated that the random forest had 0.74 accuracy, 0.77 precision, 0.77 recall, and 0.75 F1-score. Creator An entity primarily responsible for making the resource Vincent Mbandu Ochango, John Gichuki Ndia, Geoffrey Mariga Wambugu Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource August 2022 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/f3ef3b0fb76fb125efb842e93aa7eb82.pdf bbae2881a77bc504a485243b4bda4f25 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 11 NO. 4 (2022) AUGUST 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Sorting Real Numbers in Constant Time using n2/logcn Processors Subject The topic of the resource Constant time sorting, sorting real numbers into a linked list, lower bounds for sorting, PRAM (Parallel Random Access Machine), EREW, CREW, CRCW. Description An account of the resource We study the sorting of real numbers into a linked list on the PRAM (Parallel Random-Access Machine) model. We show that n real numbers can be sorted into a linked list in constant time using n2 processors. Previously n numbers can be sorted into a linked list using n2 processors in O(loglogn) time. We also study the time processor trade-off for sorting real numbers into a linked list on the PRAM (Parallel Random Access Machine) model. We show that n real numbers can be sorted into a linked list with n2/t processors in O(logt) time. Previously n real numbers can be sorted into a linked list using n3 processors in constant time and n2 processors in O(loglogn). And then we show that input array of n real numbers can be sorted into linked list in constant time using n2/logcn processors for any positive constant c. We believe that further reduction on the number of processors for sorting real numbers in constant time will be very difficult if not impossible. Creator An entity primarily responsible for making the resource Yijie Han, Pruthvi Kasani, Sai Swathi Kunapuli Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource August 2022 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/9719cf2a8d11443dd0186c00647221d3.pdf e0d306bb1dc157b255e87c0b7a318989 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 11 NO. 4 (2022) AUGUST 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Empirical Research on realizing, evaluating, and validating a conceptual breast-cancer e-portal model with Arabic content Subject The topic of the resource Empirical research; health e-portal; breast cancer e-portal prototype. Description An account of the resource Abstract—this paper presents an empirical research that realizes a previous research of a conceptual breast-cancer e-portal model with Arabic content. The paper starts with briefing the previous research, after that, it highlights the gaps need to be bridged and the problems need to be solved. A real development of an e-portal prototype is done for achieving the research goal. This e-portal prototype has applied the conceptual model of the previous research. Creator An entity primarily responsible for making the resource Mohammed M I Awad Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource August 2022 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/c230458c331d2b998585a1f14e0d34db.pdf b554b273db7b5baf7058008db6880c78 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 11 NO. 4 (2022) AUGUST 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Analysis of the Convolutional Neural Network Model in Detecting Brain Tumor Subject The topic of the resource Convolutional Neural Network, Brain Tumor, Data Augmentation Description An account of the resource Detecting brain tumors is an active area of research in brain image processing. This paper proposes a methodology to segment and classify brain tumors using magnetic resonance images (MRI). Convolutional Neural Networks (CNN) are one of the effective detection methods and have been employed for tumor segmentation. We optimized the total number of layers and epochs in the model. First, we run the CNN with 1000 epochs to see its best-optimized number. Then we consider six models, increasing the number of layers from one to six. It allows seeing the overfitting according to the number of layers. Creator An entity primarily responsible for making the resource Destiny Rankins, Yeona Kang, Dewayne A. Dixon, Seonguk Kim Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource August 2022 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/412cb43e65bb3a704074e54e1ee1bfa4.pdf dd702de6caa415933ba10c16a1bb9274 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 11 NO. 4 (2022) AUGUST 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Evolution of Information and Communication Technologies: Towards uses oriented collaborative practices Subject The topic of the resource Information and Communication Technologies; Collaborative practices; Decision-making practices; Knowledge Management systems; Web technologies; big data. Description An account of the resource In all sectors of activity, knowledge is the most important strategic lever in the organizations’ management. The informational practices induced by Web technologies and data exploitation are accompanied by a paradigm that disrupts the process of sharing and communicating information in organization. Knowledge generated by human and social activities broadens the scope of knowledge management systems. New forms of technologies are changing system’s design approaches. It is on these evolving aspects of Information and Communication Technologies (ICT) that we will highlight the different challenges faced by organizations. In reviewing the literature on ICTs, several researches work highlight the importance of digital revolutions in the development of IS in general, and in particular Knowledge Management (KM) systems. In order to understand the evolution of KM Systems, we carry out the postulate that different angles of view have a positive correlation with our research perimeter: We identify that collaborative practices and decision-making approach are positively related to Knowledge Management systems’ design. The conceptual model links our hypothesis with the concept of knowledge management systems. We develop a conceptual model according to a review of literature in information science. Research finding can be used for designing Knowledge Management systems. Several actors can benefit from the repercussions on a pragmatic level. System designers can identify modern developments to provide more pragmatic applications. Decision-makers can identify how to harness Knowledge Management systems and also identify good practices in terms of collaborative approaches and decision-making processes. Creator An entity primarily responsible for making the resource Sabrina Boulesnane, Benaissa Monia, Lyon, France, Bouzidi Laïd, Source A related resource from which the described resource is derived www.ijcit.com Date A point or period of time associated with an event in the lifecycle of the resource August 2022 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text